Work

Distinctiveness maps for image matching

Year: 2003

Type: conference-paper

Abstract: Stereo correspondence is hard because different image features can look alike. We propose a measure for the ambiguity of image points that allows matching of distinctive points first and breaks down the matching task into smaller and separate subproblems. Experiments with an algorithm based on this measure demonstrate the ensuing efficiency and low likelihood of incorrect matches.

Source: International Conference on Image Analysis and Processing

DOI: 10.1109/iciap.1999.797566

Authors: R. Manduchi, C. Tomasi

Institutions: Jet Propulsion Laboratory, Stanford University

Language: English

Topic: Advanced Vision and Imaging

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Aeronautics and Space Administration

OpenAlex ID: W1915985751