The 12 full papers, carefully reviewed and selected from 61 submissions, primarily focus on the fundamental theories, techniques, and algorithms related to computer vision and image signal processing, with particular emphasis on practical applications. These papers deal with the following topics: Fundamentals and Theory (e.g., image filtering / enhancement / restoration, color and illumination analysis, and image coding), Computer Vision and Image Analysis (e.g., shape from-X, object detection and tracking, and deep learning for computer vision), Applications (e.g., image/video search and retrieval, surveillance, AR/VR/MR/HR, and bio-medical image analysis), and Recognition and Learning (e.g., 2D/3D object recognition, face and gesture recognition, and human pose estimation).
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