The color object recognition is the unsolved problem in computer vision. The numbers of researchers are working to solve this problem. Various approaches to study the visual (color recognition) and geometric (shape recognition) properties of objects have been proposed. Objects are classified based on its features. In this paper various object properties are discussed. This paper reviewed the RGB, CMY and HSV color models and Texture information for visual recognition. As the surface color gets affected with the visible spectrum, solution to this illumination problem is also discussed. Objects Geometric properties of has a key role in physical representation of an object. The geometric properties like corners, edges, blobs, shapes, and region properties discussed. Finally, the four types of approaches like Appearance Base object recognition, Shape Based Object Recognition, Deformable part Based Object Recognition and Appearance plus Shape Based Object Recognition approaches are discussed.

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Object Recognition Visual Properties Geometric Properties Deformable Parts