New methods for matching 3-D objects with single perspective views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture, contour, shape, and motion
Pattern Recognition Letters
Image and Vision Computing - Special issue on the first ECCV 1990
Determining motion from 3D line segment matches: a comparative study
Image and Vision Computing
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Geometry of Visual Correspondence
International Journal of Computer Vision
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Sequential Updating of Projective and Affine Structure from Motion
International Journal of Computer Vision
Risk-Sensitive Filters for Recursive Estimation of Motion From Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods
Journal of Mathematical Imaging and Vision
Direct Estimation of Shape from Texture
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Kalman filter for image motion estimation
IEEE Transactions on Image Processing
Non-linear matched filtering for object detection and tracking
Pattern Recognition Letters
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This paper concerns the 3D motion estimation and tracking of an object in a scene using an active vision system. We develop a state model which describes in an unified way this estimation problem. In this case, the main difficulty lies in the non-linear state equations. They are solved by the particle filter which avoids the linearization stage.