نتایج جستجو برای: shape matching
تعداد نتایج: 286843 فیلتر نتایج به سال:
3D Face Recognition Using Geodesic Facial Curves to Handle Expression, Occlusion and Pose Variations
this paper illustrates the use of radial facial curves on 3D meshes to mode facial deformation caused by expression, occlusion and variation in poses and to recognize faces despite large expression, in presence of occlusion and pose variations. Here we represent facial surface by indexed collection of radial geodesic curves on 3D face meshes emanating from nose tip to the boundary of mesh and c...
Grasping objects from unstructured piles is an important, but difficult task. We present a new framework to grasp objects composed of shape primitives like cylinders and spheres. For object recognition, we employ efficient shape primitive detection methods in 3D point clouds. Object models composed of such primitives are then found in the detected shapes with a probabilistic graph-matching tech...
Low-cost RGB-D sensing technology, such as the Microsoft Kinect, is gaining acceptance in the scientific community and even entering into our homes. This technology enables ordinary users to capture everyday object into digital 3D representations. Considering the image retrieval context, whereas the ability to digitalize photos led to a rapid increase of large collections of images, which in tu...
Shape analysis is a fundamental and difficult problem in computer vision. It is crucial for recognition, video tracking, image retrieval and other applications. This paper proposes 2D shape analysis by using geodesic distance. It focuses on how to apply geodesic distance for shape matching and shape decomposition. Geodesic Fourier Descriptors is developed as a kind of shape representation for s...
The focus of this paper is on the development of a novel cross correlation technique for shape matching between two similar objects. The shape profile is derived from the curvature of the object profile. The cross correlation technique is applied to the shape profile of the two image objects to evaluate their similarity. An application of the shape profile technique is presented in the context ...
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