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DAN: Deep-Attention Network for 3D Shape Recognition
IEEE Transactions on Image Processing, 2021Due to the wide applications in a rapidly increasing number of different fields, 3D shape recognition has become a hot topic in the computer vision field. Many approaches have been proposed in recent years.
Wei-zhi Nie, Yue Zhao, Dan Song, Yue Gao
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Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning
IEEE Transactions on Image Processing, 2021In recent years, multi-view learning has emerged as a promising approach for 3D shape recognition, which identifies a 3D shape based on its 2D views taken from different viewpoints.
Yong Xu +4 more
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An Improved MVCNN for 3D Shape Recognition
2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT), 2021The multi-view convolutional neural network architecture represented by MVCNN has achieved great success in 3D shape recognition. Taking the MVCNN architecture as the research goal, this paper proposes a novel 3D shape recognition convolutional neural ...
Yan Wang +6 more
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GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 20183D shape recognition has attracted much attention recently. Its recent advances advocate the usage of deep features and achieve the state-of-the-art performance.
Yifan Feng +4 more
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Shape recognition in amblyopia
Vision Research, 1987The results of recent investigations of supra-threshold spatial vision in amblyopia have indicated that the amblyopic eye may be more disadvantaged than acuity or contrast detection measurements have suggested. We report here on the sensitivity of the amblyopic eye when performing tasks requiring the recognition of small spatial differences in thin ...
J S, Pointer, R J, Watt
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IEEE Transactions on Image Processing, 2006
The problem of person recognition and verification based on their hand images has been addressed. The system is based on the images of the right hands of the subjects, captured by a flatbed scanner in an unconstrained pose at 45 dpi. In a pre-processing stage of the algorithm, the silhouettes of hand images are registered to a fixed pose, which ...
Erdem, Yörük +3 more
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The problem of person recognition and verification based on their hand images has been addressed. The system is based on the images of the right hands of the subjects, captured by a flatbed scanner in an unconstrained pose at 45 dpi. In a pre-processing stage of the algorithm, the silhouettes of hand images are registered to a fixed pose, which ...
Erdem, Yörük +3 more
openaire +2 more sources
Viewer Independent Shape Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983An important problem in vision is to detect the presence of a known rigid 3-D object. The general 3-D object recognition task can be thought of as building a description of the object that must have at least two parts: 1) the internal description of the object itself (with respect to an object-centered frame); and 2) the transformation of the object ...
D H, Ballard, D, Sabbah
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