Results 301 to 310 of about 1,530,615 (334)
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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 +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 +6 more
openaire +1 more source
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 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 Funkhouser
openaire +1 more source
Shape 4.0: 3D Shape Modeling and Processing Using Semantics
IEEE Computer Graphics and Applications, 2016In the last decade, sensor, communication, and computing technologies have advanced rapidly, producing dramatic changes in our daily lives and in a variety of application domains. Emerging technologies are leading us to a gradual, but inescapable integration of our material and digital realities and the advent of cyber-physical worlds.
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3D Shape from Unorganized 3D Point Clouds
2005We present a framework to automatically infer topology and geometry from an unorganized 3D point cloud obtained from a 3D scene. If the cloud is not oriented, we use existing methods to orient it prior to recovering the topology. We develop a quality measure for scoring a chosen topology/orientation.
George Kamberov +2 more
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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
openaire +1 more source
Printability and Shape Fidelity of Bioinks in 3D Bioprinting
Chemical Reviews, 2020Andrea Schwab +2 more
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Nanooncology: The future of cancer diagnosis and therapy
Ca-A Cancer Journal for Clinicians, 2013Sanjiv S Gambhir
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Reprogrammable recovery and actuation behaviour of shape-memory polymers
Nature Reviews Materials, 2019Andreas Lendlein, Oliver E C Gould
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