Rapid octree construction from image sequences
CVGIP: Image Understanding
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-objective retrieval of object pose from video
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Hi-index | 0.00 |
Effects of sampling rate and pose error on silhouette-based volume reconstruction are addressed in this paper. An account of importance of choosing silhouette samples(viewpoint distribution) is given. A new viewpoint distribution method is introduced and its performance is compared to a traditional method emprically. We also investigate effects of sampling rate variation and different levels of pose error on silhouette-based reconstruction quality. We observed that in presence of Considerable pose error, increase of sampling rate cannot enhance reconstruction quality. We also observed that reconstruction process in higher sampling rates is more sensitive to pose error.