Real-time stereo matching for 3D hand gesture recognition

Design of low-power gesture recognition system and self-organizing map processors

“…Stereo camera-based HGR systems [25]- [27] leverage the concept of human binocular vision to detect and interpret human hand movements. Using two synchronized cameras placed at a known distance apart, the system captures two slightly different images of a scene.…”

“…After segmenting the hand region based on depth thresholding, the features of the hand region will be extracted for classification. Compared with the HGR systems based on the ToF and structured light-based cameras, the stereo camera-based ones [25]- [27] feature lower cost, less sensitivity to lighting conditions, and longer sensing range.…”

“…objects in the background) in the image and reduces the computational load of the posterior stages. Prior arts segment the hand using either the skin-color model [32] or the depth-based thresholding technique [25]- [27]. However, the color-based scheme faces performance degradation when the background contains skin-color blobs, such as human faces.…”