Abstract: Topological features detection and automatic segmentation of the point clouds from human body surface in standard standing measuring posture are studied，and a new method based on panoramic range image is proposed which is used for topological features detection and automatic segmentation of the point clouds from human body surface.Point clouds from human body surface are first converted into cylindrical polar coordinates and the panoramic range image of human body is created.Several key landmarks on human surface are detected automatively according to the layer distribution of the panoramic range image.Human scans are segmented into five functional parts in terms of the human key landmarks detected.The experimental results show that the method can improve the efficiency and accuracy of the topological features detection and automatic segmentation of the point clouds from human body surface in standard standing measuring posture.