July 2004
Intermediate to advanced
688 pages
19h 3m
English
Content preview from Emerging Topics in Computer VisionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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8.3. Image Features
Before discussing image features, it is important to keep in mind that content-based retrieval does not depend on a complete description of the pictorial content of the image. It is sufficient that a retrieval system presents similar images (i.e., similar in some user-defined sense). The description of the content by image features should serve that goal primarily.
One such goal can be met by using invariance as a tool to deal with the accidental distortions in the image content introduced by the sensory gap. From Section 8.2.2, it is clear that invariant features may carry more object-specific information than other features, as they are insensitive to the accidental imaging conditions such as illumination, object pose, and ...
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