Results 221 to 230 of about 460,480 (261)
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3D shape scanning with a Kinect
ACM SIGGRAPH 2011 Posters, 2011We describe a method for 3D object scanning by aligning depth and color scans which were taken from around an object with a Kinect camera. Our easy-to-use, cost-effective scanning solution could make 3D scanning technology more accessible to everyday users and turn 3D shape models into a much more widely used asset for many new applications, for ...
Yan Cui, Didier Stricker
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Computer Animation and Virtual Worlds, 2006
AbstractWe present novel ideas for facial shape and skin simulation on extremely detailed three‐dimensional facial meshes. Our input database is composed of a small number of scanned human faces with resolutions up to several million triangles, where even the pores are clearly distinguished.
Won-Sook Lee, Andrew Soon
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AbstractWe present novel ideas for facial shape and skin simulation on extremely detailed three‐dimensional facial meshes. Our input database is composed of a small number of scanned human faces with resolutions up to several million triangles, where even the pores are clearly distinguished.
Won-Sook Lee, Andrew Soon
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Aspects of 3D shape reconstruction
SPIE Proceedings, 2009The ability to reconstruct the three dimensional (3D) shape of an object from multiple images of that object is an important step in certain computer vision and object recognition tasks. The images in question can range from 2D optical images to 1D radar range profiles.
Peter F. Stiller +2 more
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ACM SIGGRAPH 2009 Courses, 2009
The human brain has the remarkable ability to turn 2D retinal images of an object into a vivid perception of the object's 3D shape. Mathematically, this should be impossible, and yet we do it effortlessly whenever we open our eyes. How does the brain achieve this?
Roland W. Fleming, Manish Singh
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The human brain has the remarkable ability to turn 2D retinal images of an object into a vivid perception of the object's 3D shape. Mathematically, this should be impossible, and yet we do it effortlessly whenever we open our eyes. How does the brain achieve this?
Roland W. Fleming, Manish Singh
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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Shape descriptor is a concise yet informative representation that provides a 3D object with an identification as a member of some category. We have developed a concise deep shape descriptor to address challenging issues from ever-growing 3D datasets in areas as diverse as engineering, medicine, and biology.
Yi Fang 0006 +6 more
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Shape descriptor is a concise yet informative representation that provides a 3D object with an identification as a member of some category. We have developed a concise deep shape descriptor to address challenging issues from ever-growing 3D datasets in areas as diverse as engineering, medicine, and biology.
Yi Fang 0006 +6 more
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Transcoding across 3D shape representations for unsupervised learning of 3D shape feature
Pattern Recognition Letters, 2020Abstract Unsupervised learning of 3D shape feature is a challenging yet important problem for organizing a large collection of 3D shape models that do not have annotations. Recently proposed neural network-based approaches attempt to learn meaningful 3D shape feature by autoencoding a single 3D shape representation such as voxel, 3D point set, or ...
Takahiko Furuya, Ryutarou Ohbuchi
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2005
A new method for determining skeletons of 3D shapes is described. It is a combination of the approach based on the “grass-fire” technique and Zhu's approach based on first finding portions of the shape where its width is approximately constant. The method specifically does not require presmoothing of the shape and is robust in the presence of noise. In
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A new method for determining skeletons of 3D shapes is described. It is a combination of the approach based on the “grass-fire” technique and Zhu's approach based on first finding portions of the shape where its width is approximately constant. The method specifically does not require presmoothing of the shape and is robust in the presence of noise. In
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Hallucinating 3D facial shapes
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008This paper focuses on hallucinating a facial shape from a low-resolution 3D facial shape. Firstly, we give a constrained conformal embedding of 3D shape in R2, which establishes an isomorphic mapping between curved facial surface and 2D planar domain.
Gang Pan 0001, Song Han, Zhaohui Wu 0001
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ACM SIGGRAPH 2002 conference abstracts and applications, 2002
With the advent of the world wide web, the number of available 3D models has increased substantially and the challenge has changed from "How do we generate 3D models?" to "How do we find them?" In this sketch we describe a new 3D model matching and indexing algorithm that uses spherical harmonics to compute discriminating similarity measures without ...
Michael Kazhdan, Thomas A. Funkhouser
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With the advent of the world wide web, the number of available 3D models has increased substantially and the challenge has changed from "How do we generate 3D models?" to "How do we find them?" In this sketch we describe a new 3D model matching and indexing algorithm that uses spherical harmonics to compute discriminating similarity measures without ...
Michael Kazhdan, Thomas A. Funkhouser
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Proceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems, 2019
3D shape blending is getting more and more attention recently as it can yield numerous ideas to ease the artists/designers to strive for new concept for their product design. Besides, it is also widely extended to many other research fields such as animation that relies on the automated process of interpolating a 3D model based on user-defined weights ...
Kyle Ong, Kok-Why Ng, Yih-Jian Yoong
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3D shape blending is getting more and more attention recently as it can yield numerous ideas to ease the artists/designers to strive for new concept for their product design. Besides, it is also widely extended to many other research fields such as animation that relies on the automated process of interpolating a 3D model based on user-defined weights ...
Kyle Ong, Kok-Why Ng, Yih-Jian Yoong
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