3D ShapeNets: A Deep Representation for Volumetric Shapes Zhirong Wu† Shuran Song† Aditya Khosla‡ Fisher Yu† Linguang Zhang† Xiaoou Tang Jianxiong Xiao† †Princeton University Chinese University of Hong Kong ‡Massachusetts Institute of Technology Abstract 3D shape is a crucial but ...
3D ShapeNets: A Deep Representation for Volumetric Shapes Introduction The code implements a Convolution Deep Belief Network in 3D and apply it for 2.5D depth object recognition, 3D shape completion, NBV selection and etc. To run the code, a CUDA supported GPU should be installed. The users sh...
2015. 3D ShapeNets: A deep representation for volumetric shapes. In CVPR, 1912-1920.Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, J. Xiao, 3d shapenets: a deep representation for volumetric shapes, in: Proceedings of the IEEE Conference on Computer Vision and Pattern ...
3D shapenets: Adeep representation for volumetric shapes OctNet: Learning deep3D representations at high resolutions OCNN:Octree-based convolutional neural networks for 3D shape analysis Pointgrid: A deepnetwork for 3d shape understanding Point-based网络 根据用于每个点特征学习的网络体系结构,该类方法可分为...
3D ShapeNets: A Deep Representation for Volumetric Shapes Zhirong Wu,Shuran Song,Aditya Khosla,Fisher Yu,Linguang Zhang,Xiaoou Tang,Jianxiong Xiao Full-Text Cite this paper Add to My Lib Abstract: 3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly...
3DShapeNets Data CardCode (0)Discussion (0)Suggestions (0) Oh no! Something went wrong! If the issue persists, it's likely a problem on our side. Unexpected end of JSON input keyboard_arrow_downcontent_copy SyntaxError: Unexpected end of JSON input ...
3DShapeNets使用一个深度信念网络来表示三维几何形状,将其表示为三维体素网格上二进制变量的概率分布。他们也用他们的方法从深度图中完成形状。然而,我们的工作灵感来自VoxNet,它是由Maturana & Shere设计的。VoxNet由一个简单而有效的CNN组成,接受类似于Wu等人的输入体素网格。3D ShapeNets和VoxelNet提供了最先进的结果。
3D shapenets: Adeep representation for volumetric shapes OctNet: Learning deep3D representations at high resolutions OCNN:Octree-based convolutional neural networks for 3D shape analysis Pointgrid: A deepnetwork for 3d shape understanding Point-based网络 ...
3D shapenets: Adeep representation for volumetric shapes OctNet: Learning deep3D representations at high resolutions OCNN:Octree-based convolutional neural networks for 3D shape analysis Pointgrid: A deepnetwork for 3d shape understanding Point-based网络 ...
Wu等人提出3D ShapeNet(如图 8所示),这种方法为了研究了3D形状的表示,而提出了一个卷积深度信念网络,以识别3D物体。该模型3D ShapeNet将3D形状表示为3D体素网格上的二进制变量的概率分布,每个3D网格可以用二进制张量进行表示。3D ShapeNets可以物体类别进行识别,以完成完整的3D形状,并在初始识别不确定的情况下...