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The key point of our approach is to calculate the 3D saliency measure using two novel geometric measures, which are defined in multi-scale space to effectively ...
Apr 29, 2016 · In this paper, we introduce a new method for detecting mesh interest points based on geometric measures and sparse refinement (GMSR).
In this paper, based on our previous work [35] , we propose a new method for detecting 3D interest points of 3D mesh models which are represented by triangular ...
In this paper, we introduce a new method for detecting 3D interest points of 3D mesh models based on geometric measures and sparse refinement. (GMSR). The ...
Numerical experiments show that the proposed GMSR based 3D interest point detector outperforms current six state-of-the-art methods for different kinds of ...
3D Interest Point Detection Based on Geometric Measures and Sparse Refinement. from www.researchgate.net
3-dimensional (3D) interest point detection plays a fundamental role in computer vision. In this paper, we introduce a new method for detecting 3D interest ...
Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction.
3D Interest Point Detection Based on Geometric Measures and Sparse Refinement. from www.semanticscholar.org
This paper introduces a novel approach for detection of 3D IPs directly on a surface mesh without any requirements of additional image/video information, ...
In this paper, we introduce a new method for detecting the mesh interest points based on geometric measures. The key point of this new approach is to.
We propose a novel three-dimensional object detection network based on a Geometric Information Supplement (GIS) strategy.