Improving hand posture recognition performance using multi-modalities
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Hand gesture recognition has been researched for a long time. However, performance of such methods in practical application still has to face with many challenges due to the variation of hand pose, hand shape, viewpoints, complex background, light illumination or subject style. In this work, we deeply investigate hand representations on various extractors from independent data (such as RGB image and Depth image).
Nội dung trích xuất từ tài liệu:
Improving hand posture recognition performance using multi-modalities
Nội dung trích xuất từ tài liệu:
Improving hand posture recognition performance using multi-modalities
Tìm kiếm theo từ khóa liên quan:
Electronic home appliances Deep learning Machine learning Hand poseture gesture recognition Human machine interaction Multi modalities Late fusion Early fusionGợi ý tài liệu liên quan:
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