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Color Angle Invariants for Object Recognition

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We present a fast, color-based algorithm for recognizing objects viewed under an unknown illuminant. Objects are indexed by just three numbers: the angles of the object's color distribution. If R, G and B denote the 3 color bands of the image of an object (stretched out as vectors) then the angular index comprises the 3 interband angles (one per pair of vectors). In the general case the distribution of colors, and in turn the angular index, will depend on the color of the illuminant. If, however, the original color bands are transformed by a sharpening transform before computing the distribution angles, then we show that the angular index is illuminant independent. Indexing using angles calculated post sharpening delivers excellent recognition for a variety of illuminations.
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Document Type: Research Article

Publication date: January 1, 1995

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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