Trinocular Stereo Vision for Robotics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Single Lens Stereo with a Plenoptic Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Tracking of human limbs by multiocular vision
Computer Vision and Image Understanding
Accurate and simple geometric calibration of multi-camera systems
Signal Processing
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Multiview Constraints on Homographies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic View Selection in Multi-View Object Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Trinocular Stereo for Non-Parallel Configurations
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Mirror-Based Trinocular Systems in Robot-Vision
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Trinocular Stereo Using Shortest Paths and the Ordering Constraint
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
3D Reconstruction from a Single View of an Object and Its Image in a Plane Mirror
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
IEEE Transactions on Circuits and Systems for Video Technology
Single camera stereo system using prism and mirrors
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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This paper investigates a passive stereovision system which employs one single CCD camera and one pyramid-like glass prism. Its trinocular variety is first presented: each image captured by this system can be split into three sub-images and these sub-images are taken as the images simultaneously captured by three virtual cameras which are generated by the prism. Two different approaches are developed to model this system: one bases on a conventional camera calibration technique and the other bases on geometrical analysis of ray sketching. The second approach is a relatively simpler but is sufficiently accurate as compared to the calibration based approach. Then the knowledge on this trinocular system is extended to build a single-lens multi-ocular stereovision system. Experiments are conducted to validate this system. The ideas presented in this paper are believed novel.