Projective Transformation Estimation Using Straight Line Segments Detected and Estimated via Neighborhood Clustering

We describe a process for extracting straight line segments from a digital image with high spatial accuracy and confidence. The line are then used to estimate projective transformations between natural, outdoor images with sparse features. The line estimates are more accurate than those obtained using a conventional scheme, and improve the estimation of projective transformations when used in conjunction with other features.

By: Richard Radke, Peter Ramadge, Sanjeev Kulkarni, and Tomio Echigo

Published in: RT0299 in 2002

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