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Hand tracking is a fundamental task in a gesture recognition system. Most previous works tracked the hand position on color images and relied heavily on skin color information. However, color information is very vulnerable to lighting variations and skin color varies across difference human races. Furthermore, one can not effectively discriminate faces or other skin-color-like objects from hands when...
In this work, we propose a novel approach to synthesize human faces. The proposed approach is based on the facial trait code, or FTC for short, which is originally proposed for solving the face recognition problem. The FTC decoding transforms codewords into faces. We find that the FTC code space is typically huge and only a very small subset of FTC codewords render smooth faces. We propose an algorithm...
Existing pedestrian and vehicle detection algorithms use 2D cues of objects, such as pixel values, color, texture, shape information or motion. The use of 3D cues in object detection, on the other hand, is not well studied in the literature. In this paper, we propose an efficient algorithm that detects pedestrian and vehicle using their 3D cues. The proposed algorithm first detects moving objects...
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