main webpage W Topic Computer Vision arXiv (Cornell University) Efficient View Path Planning for Autonomous Implicit Reconstruction 2022 Implicit neural representations have shown promising potential for the 3D scene reconstruction. Recent work applies it to autonomous 3D reconstruction by learning information gain for view path planning. Effective as it is, the computation of the information … Article Open Computer Vision Open Article Page

Computer Vision

Computerized information extraction from images Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high- dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Critical Symbolic Virtual Narrative Open Computer Vision Open Article Page

Exploring foci of: arXiv (Cornell University) Efficient View Path Planning for Autonomous Implicit Reconstruction 2022 Implicit neural representations have shown promising potential for the 3D scene reconstruction. Recent work applies it to autonomous 3D reconstruction by learning information gain for view path planning. Effective as it is, the computation of the information gain is expensive, and compared with that using volumetric representations, collision checking using the implicit representation for a 3D point is much slower. In the paper, we propose to 1) leverage a neural network as an implicit function approximator for th… Open Article Page

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Explore Computer Vision W Topic Computer Vision arXiv (Cornell University) Efficient View Path Planning for Autonomous Implicit Reconstruction 2022 Implicit neural representations have shown promising potential for the 3D scene reconstruction. Recent work applies it to autonomous 3D reconstruction by learning information gain for view path planning. Effective as it is, the computation of the information … Article Critical Symbolic Virtual Narrative Open Computer Vision Open Article Page