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      Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera

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          Most cited references28

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          Gesture Recognition: A Survey

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            Shape classification using the inner-distance.

            Part structure and articulation are of fundamental importance in computer and human vision. We propose using the inner-distance to build shape descriptors that are robust to articulation and capture part structure. The inner-distance is defined as the length of the shortest path between landmark points within the shape silhouette. We show that it is articulation insensitive and more effective at capturing part structures than the Euclidean distance. This suggests that the inner-distance can be used as a replacement for the Euclidean distance to build more accurate descriptors for complex shapes, especially for those with articulated parts. In addition, texture information along the shortest path can be used to further improve shape classification. With this idea, we propose three approaches to using the inner-distance. The first method combines the inner-distance and multidimensional scaling (MDS) to build articulation invariant signatures for articulated shapes. The second method uses the inner-distance to build a new shape descriptor based on shape contexts. The third one extends the second one by considering the texture information along shortest paths. The proposed approaches have been tested on a variety of shape databases, including an articulated shape data set, MPEG7 CE-Shape-1, Kimia silhouettes, the ETH-80 data set, two leaf data sets, and a human motion silhouette data set. In all the experiments, our methods demonstrate effective performance compared with other algorithms.
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              Vision-based hand pose estimation: A review

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                Author and article information

                Journal
                IEEE Transactions on Multimedia
                IEEE Trans. Multimedia
                Institute of Electrical and Electronics Engineers (IEEE)
                1520-9210
                1941-0077
                January 2015
                January 2015
                : 17
                : 1
                : 29-39
                Article
                10.1109/TMM.2014.2374357
                a9b60574-ecb3-48e5-ad0a-dd04bb28976f
                © 2015
                Product
                Self URI (article page): http://ieeexplore.ieee.org/document/6965622/

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