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» Object Detection Using a Cascade of 3D Models
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CGF
2005
252views more  CGF 2005»
14 years 9 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
ECCV
2010
Springer
15 years 2 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
JCDL
2003
ACM
231views Education» more  JCDL 2003»
15 years 3 months ago
Acquisition, Representation, Query and Analysis of Spatial Data: A Demonstration 3D Digital Library
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Jeremy Rowe, Anshuman Razdan, Arleyn Simon
3DPVT
2002
IEEE
184views Visualization» more  3DPVT 2002»
15 years 2 months ago
From 3D Shape Capture to Animated Models
This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape ...
Adrian Hilton, Jonathan Starck, Gordon Collins
IJISTA
2008
132views more  IJISTA 2008»
14 years 9 months ago
Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images
: An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the Photonic Mixer Dev...
Marvin Lindner, Martin Lambers, Andreas Kolb