Kousuke Kimura

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This paper proposes a system estimating arbitrary 3-D human hand postures in real-time. Differently from most of the previous real-time system, it can accept not only predetermined hand signs but also arbitrary postures and it works in a monocular camera environment. The estimation is based on a 2-D image retrieval. More than 16000 possible hand appearances(More)
This paper proposes a method for the rapid and precise estimation of human hand postures by combining 2-D appearance matching and 3-D model-based fitting. First a rough posture estimate is obtained by image indexing. Each possible hand appearance generated from a given 3-D shape model is labeled by an index obtained by PCA compression and registered with(More)
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