Motion Field and Optical Flow: Qualitative Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Tracking Strategy for Monocular Depth Inference over Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Elements of information theory
Elements of information theory
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Performance of optical flow techniques
International Journal of Computer Vision
Recursive Filters for Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential Updating of Projective and Affine Structure from Motion
International Journal of Computer Vision
Dense structure from a dense optical flow sequence
Computer Vision and Image Understanding
Computational principles of mobile robotics
Computational principles of mobile robotics
Robot Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Localization in Surface Reconstruction Using Optimal Estimation Theory
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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This paper describes the design and implementation of an active surface reconstruction algorithm for two-frame image sequences using passive imaging. A novel strategy based on the statistical grouping of image gradient features is used. It is shown that the gradient of the intensity in an image can successfully be used to drive the direction of the viewer's motion. As such, an increased efficiency in the accumulation of information is demonstrated through a significant increase in the convergence rate of the depth estimator (3 to 4 times for the presented results) over traditional passive depth-from-motion. The viewer is considered to be restricted to a short baseline. A maximal-estimation framework is adopted to provide a simple approach for propagating information in a bottom-up fashion in the system. A Kalman filtering scheme is used for accumulating information temporally. The paper provides results for real-textured data to support the findings.