Binocular Image Flows: Steps Toward Stereo-Motion Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kalman filtering with real-time applications
Kalman filtering with real-time applications
Stereo-Motion with Stereo and Motion in Complement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cooperative stereo-motion: matching and reconstruction
Computer Vision and Image Understanding
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure from Motion Causally Integrated Over Time
IEEE Transactions on Pattern Analysis and Machine Intelligence
Making Good Features Track Better
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo geometry from 3D ego-motion streams
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper deals with the estimation of motion and structure with an absolute scale factor from stereo image sequences without stereo correspondence. We show that the absolute motion and structure can be determined using only motion correspondences. This property is very useful in two aspects: first, motion correspondence is easier to solve than stereo correspondence because sequences of images can be taken at short time intervals; second, it is not necessary that the rigid scene be included in the intersection of the field of view of the two cameras. It is also shown that the degenerate cases reported in this paper constitute all of the degenerate cases for the scheme and can be easily avoided.