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In this paper, we propose a new template selection based superpixel earth mover's distance (TS-SP-EMD) algorithm for hand gesture recognition. In the original SP-EMD, template matching is utilized as the classification method. Therefore, the quality and quantity of templates are closely related to the recognition accuracy and computational speed. To address this issue, we propose a Ä-medoids based...
This paper presents a new hand gesture recognition algorithm based on canonical formed superpixel earth mover's distance (CF-SP-EMD). SP-EMD is a recently proposed distance metric designed for depth based hand gesture recognition, which shows promising performance. However, in real life, people may have their own habits while performing certain hand gestures. This will yield a variety of hand shapes...
This paper presents a new superpixel-based hand gesture recognition system based on a novel superpixel earth mover’s distance metric, together with Kinect depth camera. The depth and skeleton information from Kinect are effectively utilized to produce markerless hand extraction. The hand shapes, corresponding textures and depths are represented in the form of superpixels, which effectively retain...
Depth map estimation is a classical problem in computer vision. Conventional depth estimation relies on stereo/multi-view matching or depth sensing devices alone. In this paper, we propose a system which addresses high resolution and high quality depth estimation based on joint fusion of stereo and Kinect data. The problem is formulated as a maximum a posteriori probability (MAP) estimation problem...
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