British Machine Vision Conference

British Machine Vision Conference

3D reconstruction, omnidirectional vision and understanding of scenes

This text is related to the invited talk at the British Machine Vision Conference in Cardiff in September 2002 and highlights several recent contributions of our group to computer vision research. The aim is to hint the reader to several quite self-contained topics which we developed: omni-directional vision, scene reconstruction from images, and computational stereo. Pointer to results and ref...

British Machine Vision Conference ( a )

We describe several established error of t (EOF) functions for use in the least square tting of ellipses, and introduce a further four new EOFs. Four measures are given for assessing the suitability of such EOFs, quantifying their linearity, curvature bias, asymmetry, and overall goodness. These measures enable a better understanding to be gained of the individual merits of the EOF functions.

British Machine Vision Conference 2 Distance Approximations

We describe several established error of t (EOF) functions for use in the least square tting of ellipses, and introduce a further four new EOFs. Four measures are given for assessing the suitability of such EOFs, quantifying their linearity, curvature bias, asymmetry, and overall goodness. These measures enable a better understanding to be gained of the individual merits of the EOF functions.

N-tree Disjoint-Set Forests for Maximally Stable Extremal Regions

[1] Thomas Cormen, Charles Leiserson, Ronald Rivest, and Cli ord Stein. Introduction to Algorithms. MIT Press and McGraw-Hill Book Co., second edition, 2001. [2] Zvi Galil. Data structures and algorithms for disjoint set union problems. ACM Computing Surveys, 23(3):320–344, 1991. [3] David Lowe. Distinctive image features from scale-invariant keypoints. Int’l J. Computer Vision, 60(2):91–110, 2...