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» Computational methods for understanding 3D shapes
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NPAR
2000
ACM
14 years 3 days ago
Line direction matters: an argument for the use of principal directions in 3D line drawings
While many factors contribute to shape perception, psychological research indicates that the direction of lines on the surface may have an important influence. This is especially ...
Ahna Girshick, Victoria Interrante, Steven Haker, ...
PRL
2006
163views more  PRL 2006»
13 years 7 months ago
3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo
A robust and effective feature map integration method is presented for infrared (IR) target recognition. Noise in an IR image makes a target recognition system unstable in pose es...
Sungho Kim, In-So Kweon
EMMCVPR
1999
Springer
14 years 12 hour ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
ICCSA
2003
Springer
14 years 28 days ago
Digital Styling for Designers: 3D Plane-Symmetric Freeform Curve Creation Using Sketch Interface
The 3D evaluation of design shapes is an essential step in product styling. Thus, physical models of final-stage design alternatives have been made in tradition, and recently the ...
Seok-Hyung Bae, Ryugo Kijima, Won-Sup Kim
CVPR
1997
IEEE
13 years 12 months ago
Using Local 3D Structure for Segmentation of Bone from Computer Tomography Images
In this paper we focus on using local 3D structure for segmentation. A tensor descriptor is estimated for each neighbourhood, i.e. for each voxel in the data set. The tensors are ...
Carl-Fredrik Westin, Abhir Bhalerao, Ron Kikinis, ...