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According to human visual sensitivity, in this paper, we present a new simplification of point cloud based on point saliency. In order to find the nearest K points, we need to divide the space of Point cloud firstly. Secondly, we compute the normal vector and saliency of every point. At last, we combine octree structure and saliency to simplify point cloud data. Experiments show that our method can...
Mesh surface saliency detection is an important preprocessing step for many 3D applications. The salient region can be used to find the objects that are important on 3D surface, the benefits of saliency detection in the 3D domain include mesh simplification, registration, segmentation, compression, etc. This paper proposes a novel saliency detection method by diffusing the shape index field with non-local...
To accelerate the processing for the integration, registration, representation and recognition of point clouds, it is of growing necessity to simplify the surface of 3-D models. Simplification is an approach to vary the levels of visual details as appropriate, thereby improving on the overall performance of applications. This paper proposes a saliency detection based points sampling method for mesh...
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