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the report on the tools for analysis, synthesis and validation

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1. Representing a camera calibration by means of a list of points whose number is multiple of five and each tuple is given by coordinate pixel x coordinate pixel y coordinate 3D x coordinate 3D y coordinate 3D z rgb Representing a 2D image in RGB format December 1996 8 Keport First Version G bernat V Caselles JL Lisan Representing a sequence of 2D images in RGB format This file is edited with the help of a text editor and each row is the path to the file with the 2D image and the order is the order of the frames for visualisation or processing File composed of centres of masses and directions with the following format number of frames number of bones and for each line the coordinates of the centre of mass and inertia axes The reconstruction module uses two other types of files for communicating internally with the triangularisation functions qhull but these formats are temporarily and invisible to the users 3 4 File formats of the validation module The validation module uses the following file formats as input iv Inventor file format verifying that the last son hanging from the main node is a Separator with the following structure SoSeparator SoUnits SoRatationX YZ initial positioning rotation SoMatrixTransform SoRatationX YZ axis Z angle 0 SoRatationX YZ axis Y angle 0 SoRatationX YZ axis X angle 0 SoMatrixTransform SoFile Clavicle SoMatrixTra
2. They have been already described December 1996 25 Keport First Version G bernat V Caselles JL Lisan 4 2 7 Quitting For both modules clicking on the Quit button opens a confirmation dialog Quit the program 4 3 Error messages During the execution errors of the user can be corrected Error message windows are of the following type 5 Spatial registration and validation results As indicated in the deliverable D11 temporal registration of the movements is manually obtained by having a synchronising event in the real sequences through which static reconstruction can be performed and the simulation can be synchronised which can be then played visually in a synchronised way as described above Spatial registration of the objects is quite a complex issue with a lot of biomedical literature In the framework of the CHARM project we have studied several methods and implemented an easy and significant one to enable initial validation with the modes of images we deal with in this CHARM phase December 1996 26 Keport First Version G bernat V Caselles JL Lisan We have chosen to register the images based on two simple physical characteristics of the bones the centre of masses giving the position and the principal inertia axes giving the orientation They are computed from the reconstructed surface coming both from the bones reconstructed from fluoroscopies and from the VHD based models A
3. to a viewpoint can be done in two ways manually to obtain the first calibration or loading it from a file after the calibration has been performed and then it is loaded when required or for simulations December 1996 16 Keport First Version O Dernat V Caselles JL Lisan In order to load a calibration the user clicks on the button Load Cal in the corresponding subwindow and a window for choosing the calibration and loading it appears as follows In order to perform a manual calibration the user has to perform the following steps e Click on the button Start Calib at the corresponding subwindow The button changes to End Calib e Then select a point in the image a window appears with the screen coordinates corresponding to this point requesting to introduce the 3D coordinates and to validate them December 1996 17 Keport First Version G bernat V Caselles JL Lisan e Once the calibrated point is calibrated it appears in red to avoid re using it Calibration requires a minimum of 6 points and an upper limit of 20 points has been set The following picture shows that feature cal_philips_29_11 rgb Dx 720 Dy 576 Chanels 3 Frames 1 gt ry L kel E a a gt wl e Once chosen all the calibration points required the user executes the calibration by clicking on the button End Calib which now turns to Start Calib e Finally it is recommended to save the calibration by cli
4. Keport First Version G bernat V Caselles JL Lisan Integrated module for amalysis symthesis matching First versiom CHARM D12 deliverable Report Universitat de les Illes Balears Contents 1 Introduction 2 Validation and registration in the context of CHARM 3 The integrated environment for 3D reconstruction and validation 3 1 Introduction 3 2 General description of the interface 3 3 File formats of the reconstruction module 3 4 File formats of the validation module 3 5 Data structure 3 6 Visualisation controllers 3 6 1 Video controllers 3 6 2 Zoom controllers 4 User manual 4 1 Reconstruction module 4 1 1 Loading files 4 1 2 Camera calibration 4 1 3 Reconstruction 4 2 Registration validation module 4 2 1 Loading an arm 4 2 2 Trajectory loading 4 2 3 Centre of masses and principal directions loading 4 2 4 Saving reconstructions 4 2 5 Play synchronising 4 2 6 Video controllers 4 2 7 Quitting 4 3 Error messages 5 Spatial registration and validation results December 1996 2 Keport First Version O bernat V Caselles JL Lisan 1 Introduction Deliverable D12 Integrated module for analysis synthesis matching constitutes the module for the CHARM project validation aiming at analysing the correspondence of images coming from real sources medical origin video sequences with synthetically generated ones using CHARM methods and thus assessing somehow the results of the project as a
5. ch more advanced methods could be tested and integrated We recall that this deliverable is complementary of the deliverable replacing D11 Test sequences for validation where the setting of the experiences for the obtention of the sequences the methods used for camera calibration and 3D reconstruction both of video and fluoroscopy sequences and the results obtained are discussed But first we discuss the validation questions as perceived in the context of the CHARM project and specifically in this deliverable December 1996 3 Keport First Version O bernat V Caselles JL Lisan 2 Validation and registration in the context of CHARM The aim of CHARM is to obtain better synthetic animation of humans by developing new methods different modalities of moving 3D images are analyzed and or synthesized and have to be compared in order to validate these methods The type of images for use in CHARM range from 3D reconstructions obtained from real sources such as MR CAT fluoroscopies or video to synthetically generated movements coming from physically based simulations namely on biomechanics and high level motion control The validation registration problem of CHARM can be compared to the introduction of graphics techniques in the medical context where tomographic images are used in concert with each other so that the correlation of 3D tomographic diagnostic images obtained from different modalities such as PET or MR or from
6. cking on the button Save Cal which opens the appropriate selection window 4 1 3 Reconstruction In order to start the reconstruction the points of view corresponding to the images of the object to be reconstructed should have been calibrated previously and a a minimum of two points of view is necessary In order to start the reconstruction the user clicks the button Start Rec Two ways of reconstruction have been implemented point by point and by sections Both of them can be used simultaneously for the same object reconstruction December 1996 18 Keport First Version G bernat V Caselles JL Lisan Point by point reconstruction e We select the conjugate points corresponding to different calibrated cameras The epipolar lines are drawn to help in this selection When a point is clicked at a viewpoint it turns to red and the epipolar lines are drawn at the other viewpoints The following figure shows it cal_philips 29 11 rgb Dee 720 Dy 576 Chanels 3 Frames 1 BeBe EJ 2 B B e After several groups of conjugate points have been determined the object can be reconstructed by clicking on the Valid Rec button A minimum of four groups is required for the visualisation in the reconstruction subwindow December 1996 19 Keport First Version G bernat V Caselles JL Lisan Section based reconstruction e Only two points of view orthogonal in the left subwindows can be used Then we select a couple of
7. conjugate points and click on the button Section which turns to an End Sec button e Another couple of conjugate points is selected and then by clicking on the End Sec button the section is computed and is represented in the up left subwindow as appears next cal phiipa 79 11 rg Ox 720 Dy 576 Chaneis I Frames I 6 8 gt Bi December 1996 20 Keport First Version G bernat V Caselles JL Lisan The reconstructed object appears in the following way Reconstruction Load Rec Save last object save this Rec Save all Rec Start new Object Start new Rec Save c masses Rotx Roty Mim A Dolly 4 4 a gt 0 gt December 1996 21 KKeport First Version G bernat V Caselles JL Lisan A wireframe representation allows for easier viewing of the centre of masses and principal inertia axes of the object as shown next Reconstruction Load Rec Save last object Save this Rec Save all Rec Start new Object Start new Rec Save c masses Rotx Roy mo m Dolly KKOOOG S December 1996 22 Keport First Version O bernat V Caselles JL Lisan 4 2 Registration validation module Type the command regist and then execution is started The following image gives a view of the module s interface 4 2 1 Loading an arm At any of the views click the button Load Arm in order to start loading a model arm in the fil
8. e format described earlier Then a dialog opens Similar functionalities as previously are available The default extension is iv December 1996 23 Report First Version G bernat V Caselles JL Lisan 4 2 2 Trajectory loading At any of the views click the button Load traj in order to start loading a trajectory file Then a dialog opens with similar functionalities as earlier although the default file format is with extension traj 4 2 3 Centre of masses and principal directions loading The button Load CMD is used with default file format cmd December 1996 24 Keport First Version G bernat V Caselles JL Lisan 4 2 4 Saving reconstructions This functionality saves the current frame which can be loaded into the reconstruction module for computation of centres of masses and principal directions It is activated by clicking the button Save recs 4 2 5 Play synchronising This functionality allows for activating and desactivating the temporal synchronisation by the frame number of the movements in the two subwindows Only the Play and Stop buttons are synchronised not the other video controllers In the future the synchronisation will take into account the possibility that the number of frames is different in the two sequences This functionality is activated by clicking on the Sincro Play button Messages ask for confirmation of the activation or deactivation 4 2 6 Video controllers
9. e or reconstructed frame is loaded in the corresponding subwindow They appear as jajaj gt Dd The video functionalities in the video controller for the validation module include the same as in the reconstruction module with the added option for synchronising the views in the different subwindows This option is activated through a button 3 6 2 Zoom controllers The three reconstruction subwindows have several buttons for image control as follows e Home to take a point of view such that the whole object can be seen in the window this function is automatically performed any time a new file is loaded e Point Pixel In order to get that a pixel image has the dimension of a pixel screen This is the minimum zooming suggested for reconstruction tasks e Zoom This is another facility essential for the reconstruction tasks Magnifying helps the precision of the task December 1996 12 Keport First Version O bernat V Caselles JL Lisan e Unzoom reverses zoom operation e Left the camera view is moved to the left e Right the camera view is moved to the right e Up the camera view is moved upwards e Down the camera view is moved downwards malala l lel le The zoom control buttons 4 User manual The modules have been developed to run on a Silicon Graphics Unix environment 4 1 Reconstruction module To launch the program use the command recons and the execution is validated The programs recons a
10. ice users and we favored keeping the similarities which gives an advantage to the user helping in its familiarisation with the tasks although they are different On the other hand as the main functionality of this module is getting a reconstructed 3D object from different views it seemed convenient to follow the quite standard interface used for 3D modelling in coomercial packages for image synthesis and animation where the users December 1996 5 Keport First Version O bernat V Caselles JL Lisan have 4 windows showing different planes and a view of the 3D object In in our case the user has some windows showing different perspectives albeit real of the same object and then the 3D reconstruction This approach gets very positively striking results when using fluoroscopies where the images shown are images taken at orthogonal perspective planes which is the standard for modelling packages Although the module has four subwindows three for the perspective images and one the upper right one for the reconstructed object it is currently able to handle up to five different perspectives A global view of the module interface is the following one 2j 2 B B The validation module looks a bit differently It is divided into three distinct areas two of them are viewers of the different animations of the shoulder arm in a similar way as the subwindows of the reconstruction module while the third area shows some angles co
11. ke mainly this visualisation approach which allows clinicians and other non technical users to assess the validity of the results of the project by visual comparison of different modalities of moving 3D images and we also aim at providing some more analytical tools to test also the results This approach gets its strength both from graphics and the current medical approaches while the objectives are different from the clinical approach namely the best matching is not the optimum but the most accurate comparison with a suitable referencing December 1996 4 Keport First Version O bernat V Caselles JL Lisan 3 The integrated environment for 3D reconstruction and validation 3 1 Introduction The environment developed by UIB for the CHARM project integrates the tasks of 3D reconstruction of moving objects from real image sequences and the validation of the results by comparing mainly perceptually at the current stage but helped by some automatised tools multi modal image sequences after the temporal synchronisation and spatial registration of the different sources The resulting environment is composed of two modules the first one is the reconstruction module for 3D reconstruction of objects from frames of the same object from different perspectives with the capability of generating sequences of reconstructed bones in Inventor format together with a file containing essentially the trajectories of the movement After performi
12. nd qhull should be inside the same directory for the correct execution December 1996 13 Keport First Version G bernat V Caselles JL Lisan A four window environment appears December 1996 14 Keport First Version G bernat V Caselles JL Lisan 4 1 1 Loading files The loading files of images or sequences of formats such as described earlier can be performed in three of the subwindows the one for the results of the 3D reconstruction is excluded It is done by clicking on the button Load rgb s of the corresponding subwindow then a window opens for file selection The images are loaded in the corresponding subwindow and if there was another image or sequence loaded it is replaced by the newer one Apart from the OK and Cancel typical dialog the option Filter allows for choosing only some type of files to display as for loading the default are the files with extension rgb and rgbs Once a file is loaded its name its dimensions and the number of frames loaded appear For a rgbs format file the slider for choosing directly a specific frame is enabled otherwise it is not visible December 1996 15 Keport First Version O bernat V Caselles JL Lisan Again the object appears initally set to the subwindow size as indicated in the following picture cal_philips_29_11 rgb Dx 720 Dy 576 Chanels 3 Frames 1 4 1 2 Camera calibration Camera calibration obtaining the parameters corresponding
13. ng calibration of the cameras by operator identification of corresponding points for the different camera images helped by epipolar lines a sequence of reconstructed objects is generated in Inventor format The second module is the validation module which shares the common aspects of the interface with the former but which is separated from it for optimising memory and loading management The trajectory file from the reconstruction module is used to generate the animation sequence of the shoulder arm in a window which will be compared with another movement which is loaded in another window this time synthetically generated with CHARM methods for the validation The validation module can load independent bones reconstructions provided the reconstructions are in the CHARM developed format based on Inventor Some automatised help tools are also shown As indicated earlier the final validation takes place only on some bones movement both reconstructed from fluoroscopies and simulated on the VHD based data 3 2 General description of the interface The interface for the environment especially the calibration reconstruction module has been chosen to appear very similar to the interface for matching developed as CHARM D8 although the functionalities and underlying structures are widely different The reasons for keeping a seemingly looking environment are twofold On one hand the tiled window system for D8 was seen as very convenient for nov
14. nsform December 1996 Keport First Version G bernat V Caselles JL Lisan SoRatationX YZ axis Z angle 0 SoRatationX YZ axis Y angle 0 SoRatationX YZ axis X angle 0 SoMatrixTransform SoFile UIna SoMatrixTransform SoRatationX YZ axis Z angle 0 SoRatationX YZ axis Y angle 0 SoRatationX YZ axis X angle 0 SoMatrixTransform SoFile Humerus Trajectory file with number of frames number of degrees of freedom and trajectories The output files for the validation module are inventor files of any of the input formats specified above for the reconstruction module for a bone or a frame One must remark that all the iv files are in Inventor format and consequently can be visualised with the command ivview 3 5 Data structure The internal data structure corresponds to the file format described above eventually with some added sofistications As an example the internal bone data structure includes a SoSeparator which allows to encapsulate deeper structure in other terms it is the node father of a subtree SoCoordinate3 which is a set of 3D points and SoIndexedFaceSet which is a set of indexed fases December 1996 10 iKKeport First Version G bernat V Caselles JL Lisan The scheme for the isolated bone is as follows Bone So Separator So Coordinate3 So Coordinate3 The internal organisation of the bones structure is made of a SoBlinker which allows to group subtrees bu
15. nventional adhesive surface electrodes paper and magnetic FM tape were used while the subject performed movements of abduction and adduction of about 30 with and without loading in this case against a 10 kg load applied to the elbow six simultaneous channels were used for the main muscles December 1996 28 Keport First Version G bernat V Caselles JL Lisan APPENDIX 2 Some moving images tools Although the more advanced image analysis tools are not fully integrated in the validation environment due to the late integration of this part the methods for allowing the tracking of the objects and computing the kinematics parameters have been developed We enclose two reports Segmentation of 3D images and video sequences V Caselles and J L Lisani and Snakes in movement V Caselles and B Coll December 1996 29
16. rresponding to the two trajectories which are shown as nine clocks for comparison The validation module is linked to the reconstruction module its objects being accessible by the reconstruction module As indicated earlier limiting to two windows this module has been an ad hoc solution for improving memory and loading management December 1996 6 Keport First Version G bernat V Caselles JL Lisan The following picture gives an indication of the validation module interface 3 3 File formats of the reconstruction module The input formats for the reconstrucion modules are classified according to extensions the following ones iv File in Inventor format The format has to be appropriate for the internal structures of the module otherwise it will be rejected There are three types of suitable formats 1 Representing vertices and faces of a bone SoSeparator SoCoordinate3 point SoIndexedFaceSet coorIndex December 1996 7 Keport First Version G bernat V Caselles JL Lisan 2 Representing one frame with n bones SoSeparator SoCoordinate3 SoIndexedFaceSet SoSeparator SoCoordinate3 SoIndexedFaceSet SoSeparator SoCoordinate3 SoIndexedFaceSet 3 Representing a sequence of frames SoBlinker SoSeparator Frame 1 SoSeparator bone 1 SoSeparator bone n SoSeparator Frame n SoSeparator bone 1 SoSeparator bone n
17. s we want to compare trajectories the inertia axes are the really significant characteristics which allow us to compute the evolution of some angles which show the evolution of some joints So far we have not achieved a good automatic registration based on these parameters which could be used for better visual registration and matching including skin surface The movements used for the validation are so different that the validation shows them as different with very little problems December 1996 27 Keport First Version G bernat V Caselles JL Lisan APPENDIX 1 Validation through EMG Another resource for validation which was preliminary explored by UIB through the Physiology Professor Ruben Rial was to check the results obtained in the CHARM project through optimisation techniques about the activation levels of the actuators against actual measurements Two techniques are available in practice to estimate the activation level of a muscle actuator the electromyographic measurements EMG and the intramuscular pressure measurements IMP Both methods provide complementary informations on the muscle activation state However as they provide more accurate data than IMP measurements EMG measurements have been more commonly used Preliminary work was developed bibliographical survey was conducted experiences were designed to get EMG recordings and first trials performed Surface EMGs were recorded in these first trials using co
18. t with the characteristic that only one is selected at the time and which is used to simulate a sequence or film frame by frame Full Structure of a set of bones So blinker So Separator So Separator The number of five has been chosen to manage more efficiently the memory and loading otherwise the environment gets very heavily loaded 3 6 Visualisation controllers 3 6 1 Video controllers The four subwindows of the reconstruction module and two subwindows of the validation module use several buttons to control the display frame by frame both of 2D and 3D December 1996 11 Keport First Version O bernat V Caselles JL Lisan sequences The functionalities are inspired by the standard commercial video players as were designed in the deliverable D8 The meaning is e All Backwards or rewind defines the first frame in the sequence as the current and visualized one e All Forward sets the last frame as the current frame e Step Backwards sets the previous frame as the current frame e Step Forward the folowing frame becomes the current one e Play a non stop cycling display of the full sequence e Stop Interrupt the cycling display e Selection sets directly wich frame as current one It is only enabled when the number of frames is bigger than one Currently the speed for Play visualisation is set to one frame per second and it is not user modifiable The video controllers are not enabled when only one imag
19. the same modality in different times has become clinically significant in recent years It was natural for the CHARM partnership to take this graphics approach and enhance it exploiting current hardware and software developments for the use of multi modal moving 3D images In the clinical approach the questions are image matching and the associated registration problems registration means determining the geometric relationship between multi modal image data sets in order to perform the best possible superposition of the images The CHARM validation questions are slightly different Comparing images from different sources and checking for the accuracy and correspondence of the different representations is one of the approaches for testing whether our models represent an effective progress in synthesizing human animation This problem is somehow different from the medical image matching where in the clinical context the aim of matching can be for instance registering scans of the same patient with each other and with CT scans or relate them to a standard atlas in order to perform the best possible superposition of the images In our context we are interested in getting the appropriate reference frames both spatial and temporal which allow the study of coincidences and discrepancies among multi modal images because it is in the accuracy of the methods of synthetic generation of deformation and movement what we are interested in assessing We ta
20. whole Partial inspiration for this deliverable comes from the work performed for the second year deliverable D8 An interface for matching where some of the validation problems were approached in a prototype way Due to the current limitations of the CHARM results in particular the unfeasibility of simulating the behaviour of a sufficient number of muscles and other tissues through finite element methods the final validation has been performed by comparing trajectories of 3D bones corresponding to a real movement and reconstructed from fluoroscopies taken from different perspectives with simulated trajectories of some bones using the 3D models obtained from the Visual Human Dataset and with movements driven by the control methods developed by CHARM In this report we describe the environment for 3D reconstruction of objects from the real sources used for CHARM validation namely image sequences obtained through video cameras and fluoroscopies using stereoscopy the validation environment where these images are compared with the simulated ones specifically the tools for comparing the trajectories of the real and simulated cases and the registration problems analysed and finally we discuss the validation results and perspectives In an appendix we discuss some more advanced methods for moving images analysis which have not been yet integrated in the module due to time constraints in the project which limited the extension to whi

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