Applications of Invariance in Computer Vision: Second Joint European-us Workshop, Ponta Delgada, Azores, Portugal, October 9-14, 1993 - Proceedings - Lecture Notes in Computer Science

Marc Notes: Proceedings of the Second Joint European-US Workshop on 'Applications of Invariance in Computer Vision'--Pref. Table of Contents: and chapter summary.- Cartan's moving frame method and its application to the geometry and evolution of curves in the euclidean, affine and projective planes.- Representation of three-dimensional object structure as cross-ratios of determinants of stereo image points.- A case against epipolar geometry.- Repeated structures: Image correspondence constraints and 3D structure recovery.- How to use the cross ratio to compute projective invariants from two images.- On geometric and algebraic aspects of 3D affine and projective structures from perspective 2D views.- The double algebra: An effective tool for computing invariants in computer vision.- Matching perspective views of parallel plane structures.- Invariants for recovering shape from shading.- Fundamental difficulties with projective normalization of planar curves.- Invariant size functions.- Euclidean reconstruction from uncalibrated views.- Accurate projective reconstruction.- Applications of motion field of curves.- Affine reconstruction from perspective image pairs obtained by a translating camera.- Using invariance and quasi-invariance for the segmentation and recovery of curved objects.- Representations of 3D objects that incorporate surface markings.- Model-based invariant functions and their use for recognition.- Integration of multiple feature groups and multiple views into a 3D object recognition system.- Hierarchical object description using invariants.- Generalizing invariants for 3-D to 2-D matching.- Recognition by combinations of model views: Alignment and invariance.- Classification based on the cross ratio.- Correspondence of coplanar features through P2-invariant representations.- Integrating algebraic curves and surfaces, algebraic invariants and Bayesian methods for 2D and 3D object recognition. Publisher Marketing: This volume of conference proceedings covers the foundational aspects of geometric and algebraic invariance as well as applications for computer vision recovery and reconstruction, object recognition, scene analysis, robotic navigation and statistical analysis.

Contributor Bio:  Mundy, Joseph L Joseph L. Mundy is a Professor of Engineering at Brown University. Contributor Bio:  Zisserman, Andrew Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh. Contributor Bio:  Forsyth, David David Forsyth, PhD, is executive director of the Gilpin Historical Society and has written several articles on Colorado's history. The Gilpin Historical Society's mission is to collect, preserve, and exhibit the colorful history of Gilpin County.