Evaluating Color Descriptors for Object and Scene Recognition
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Abstract
Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for feature extraction at salient points. To increase illumination invariance and discriminative power, color descriptors have been proposed. Because many different descriptors exist, a structured overview is required of color invariant descriptors in the context of image category recognition. Therefore, this paper studies the invariance properties and the distinctiveness of color descriptors (software to compute the color descriptors from this paper is available from http://www.colordescriptors.com) in a structured way. The analytical…
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Topics
Keywords
- Artificial intelligence
- Computer science
- Discriminative model
- Pattern recognition (psychology)
- Scale-invariant feature transform
- Cognitive neuroscience of visual object recognition
- Invariant (physics)
- Optimal distinctiveness theory
UN Sustainable Development Goals
- Reduced inequalities
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