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Context based object categorization: A critical survey
2010
Computer Vision and Image Understanding
The goal of object categorization is to locate and identify instances of an object category within an image. Recognizing an object in an image is difficult when images present occlusion, poor quality, noise or background clutter, and this task becomes even more challenging when many objects are present in the same scene. Several models for object categorization use appearance and context information from objects to improve recognition accuracy. Appearance information, based on visual cues, can
doi:10.1016/j.cviu.2010.02.004
fatcat:3ee2st4tffbnplewyrq5o4i5rm