Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomás Pajdla,Ji?í Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

泥沼

從屬

General Linear Cameras3D scene. The GLC model also provides an intuitive physical interpretation, which can be used to characterize real imaging systems. Finally, since the GLC model provides a complete description of all 2D affine subspaces, it can be used as a tool for first-order differential analysis of arbitrary (higher-order) multiperspective imaging systems.

牲畜欄

What Do Four Points in Two Calibrated Images Tell Us about the Epipoles?point pairs. We give a novel algorithm that solves for the essential matrix given three corresponding points and one epipole. We then use the theory to describe a solution, using a 1-parameter search, to the notoriously difficult problem of solving for the pose of three views given four corresponding points.

預兆好

Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitationscandidates as correlated random variables and characterize the task using its second order statistics. We derive a search procedure based on minimum MSE linear estimation. Simple extensions enable the algorithm to use top-down and/or bottom-up information, when available.

resilience

煤渣

Image and Video Segmentation by Anisotropic Kernel Mean Shifts: 1) it gets better results on general images and video in a smoothness sense; 2) the segmented results are more consistent with human visual saliency; 3) the algorithm is robust to initial parameters.

斗爭

依法逮捕

補充

https://doi.org/10.1057/9780230299368ich satisfies both symmetry and statistical constraints in the best possible way. Our procedure takes only a few seconds, accounts for varying facial albedo, and is simpler than the previous methods. In the special case of horizontal illuminant direction, our algorithm runs even as fast as matrix-vector multiplication.

消息靈通

https://doi.org/10.1007/978-1-349-20651-3nce approximation and is iteratively optimized via the alternate minimization method. While the major novelty of this work is in the unified solution of the segmentation and . restoration problems, the important special case of . blur is also considered and promising results are obtained.