Results 261 to 270 of about 6,822,119 (311)
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MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details
arXiv.orgWe propose MoGe-2, an advanced open-domain geometry estimation model that recovers a metric scale 3D point map of a scene from a single image. Our method builds upon the recent monocular geometry estimation approach, MoGe, which predicts affine-invariant
Ruicheng Wang +8 more
semanticscholar +1 more source
2010
Point-line geometries are just rank two geometries, and so inherit the concepts of morphism and cover from the last chapter. The symmetry between the two types is broken by the concept of a subspace, which treats points differently from lines. A new graph, the point-collinearity graph, is useful in describing geometric properties.
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Point-line geometries are just rank two geometries, and so inherit the concepts of morphism and cover from the last chapter. The symmetry between the two types is broken by the concept of a subspace, which treats points differently from lines. A new graph, the point-collinearity graph, is useful in describing geometric properties.
openaire +1 more source
Computer Vision and Pattern Recognition
We present MoGe, a powerful model for recovering 3D geometry from monocular open-domain images. Given a single image, our model directly predicts a 3D point map of the captured scene with an affine-invariant representation, which is agnostic to true ...
Ruicheng Wang +6 more
semanticscholar +1 more source
We present MoGe, a powerful model for recovering 3D geometry from monocular open-domain images. Given a single image, our model directly predicts a 3D point map of the captured scene with an affine-invariant representation, which is agnostic to true ...
Ruicheng Wang +6 more
semanticscholar +1 more source
3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation
IEEE Transactions on Image Processing, 20203D point clouds associated with attributes are considered as a promising paradigm for immersive communication. However, the corresponding compression schemes for this media are still in the infant stage.
Shuai Gu +4 more
semanticscholar +1 more source
A geometry-attentional network for ALS point cloud classification
, 2020Airborne Laser Scanning (ALS) point cloud classification is a critical task in remote sensing and photogrammetry communities, which can be widely utilized in urban management, powerline surveying and forest monitoring, etc.
Wuzhao Li, Fudong Wang, Guisong Xia
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3D Point Cloud Geometry Compression on Deep Learning
ACM Multimedia, 20193D point cloud presentation has been widely used in computer vision, automatic driving, augmented reality, smart cities and virtual reality. 3D point cloud compression method with higher compression ratio and tiny loss is the key to improve data ...
Tianxin Huang, Yong Liu
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Drill Point Geometry and Optimization
Journal of Engineering for Industry, 1982The geometrical parameters of the drill point, i.e., relief angles, chisel form, web size, and errors of symmetry have a major influence on drill performance. This paper deals with geometrical aspects of the drill point and with the development of fundamental mathematical definitions for the design of improved drill point grinders.
E. Lenz, S. Kaldor
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Radiosity for point-sampled geometry
12th Pacific Conference on Computer Graphics and Applications, 2004. PG 2004. Proceedings., 2004In this paper, we propose a radiosity method for the point-sampled geometry to compute diffuse inter reflection of light. Most traditional radiosity methods subdivide the surfaces of objects into small elements such as quadrilaterals. However, the point-sampled geometry includes no explicit information about surfaces, presenting a difficulty in ...
Y. Dobashi, T. Yamamoto, T. Nishita
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Ray Tracing Point Sampled Geometry
2000We present a novel technique for ray tracing geometry represented by points. Our approach makes it possible to render high quality ray traced images with global illumination using unstructured point-sampled data thus avoiding the time-consuming process of reconstructing the underlying surface or any topological information. Compared with previous point
Gernot Schaufler, Henrik Wann Jensen
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Self-evident Automated Proving Based on Point Geometry from the Perspective of Wu’s Method Identity
Journal of Systems Science and Complexity, 2019Jingzhong Zhang, Xicheng Peng, Mao Chen
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