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Shape Acquisition and Registration for 3D Endoscope Based on Grid Pattern Projection
Published on 2016-10-241474 Views
For effective endoscopic diagnosis and treatment, size measurement and shape characterization of lesions, such as tumors, is important. For this purpose, 3D endoscopic systems based on active stereo t
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Presentation
Shape acquisition and registration for 3D endoscope based on grid pattern projection00:00
Background00:10
Challenges on endoscopic system00:36
Summary of our approach - 101:45
Summary of our approach - 202:08
System Configuration02:16
Single color oneshot scan02:35
Real endoscopic environment03:08
Pattern with macro-structure03:36
Correspondence problem on Grid based active stereo - 104:11
Correspondence problem on Grid based active stereo - 204:25
Correspondence problem on Grid based active stereo - 304:36
Additional information for grid based active stereo - 105:31
Additional information for grid based active stereo - 205:36
Additional information for grid based active stereo - 305:44
Blur robust grid pattern - gap coding05:59
Ambiguity elimination by gap coding - 106:36
Ambiguity elimination by gap coding - 207:16
Ambiguity elimination by gap coding - 307:49
Ambiguity elimination by gap coding - 408:07
Ambiguity elimination by gap coding - 508:13
Ambiguity elimination by gap coding - 608:22
Ambiguity elimination by gap coding - 708:26
Ambiguity elimination by gap coding - 808:29
Ambiguity elimination by gap coding - 908:33
Summary of our approach - 308:41
SLAM with endoscopic system09:27
Solution for sparse grid shapes10:25
Inter-frame correspondences of both strategy10:58
Non-rigid registration11:41
Experiment - 112:43
3D Shape reconstruction12:53
Curve detection13:07
Gap decoding13:26
Correspondences13:39
3D reconstruction result - 113:47
3D reconstruction result - 213:52
Real endescopic experiment13:57
Evaluation of gap coded pattern14:04
Experiment - 214:13
SLAM on bunny data14:20
SLAM on mouth data14:38
Evaluation on rigid registration - 114:46
Evaluation on rigid registration - 214:48
Conclusion14:52