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» 3D Mapping with Semantic Knowledge
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ICCV
2011
IEEE
12 years 7 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
CGF
2008
120views more  CGF 2008»
13 years 7 months ago
Online Personalised Non-photorealistic Rendering Technique for 3D Geometry from Incremental Sketching
This paper presents an online personalised non-photorealistic rendering (NPR) technique for 3D models generated from interactively sketched input. This technique has been integrat...
Daychyi Ku, Sheng Feng Qin, David K. Wright, CuiXi...
CVPR
2006
IEEE
14 years 9 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
ICCD
2007
IEEE
161views Hardware» more  ICCD 2007»
14 years 4 months ago
Scan chain design for three-dimensional integrated circuits (3D ICs)
Scan chains are widely used to improve the testability of IC designs. In traditional 2D IC designs, various design techniques on the construction of scan chains have been proposed...
Xiaoxia Wu, Paul Falkenstern, Yuan Xie
ECCV
2010
Springer
13 years 8 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang