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Shape Acquisition and Registration for 3D Endoscope Based on Grid Pattern Projection
Published on Oct 24, 20161463 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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Chapter list
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 system08:58
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