A fast interest point detection algorithm

by Chavez, Aaron J

Abstract (Summary)
An interest point detection scheme is presented that is comparable in quality to existing

methods, but can be performed much faster. The detection is based on a straightforward color

analysis at a coarse granularity. A 3x3 grid of squares is centered on the candidate point, so that

the candidate point corresponds to the middle square. If the color of the center region is

inhomogeneous with all of the surrounding regions, the point is labeled as interesting. A point

will also be labeled as interesting if a minority of the surrounding squares are homogeneous, and

arranged in an appropriate pattern.

Testing confirms that this detection scheme is much faster than the state-of-the-art. It is

also repeatable, even under different viewing conditions. The detector is robust with respect to

changes in viewpoint, lighting, zoom, and to a certain extent, rotation.

Bibliographical Information:


School:Kansas State University

School Location:USA - Kansas

Source Type:Master's Thesis

Keywords:machine vision computer science 0984


Date of Publication:01/01/2008

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