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» Seeing 3D Objects in a Single 2D Image
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ICCV
2009
IEEE
16 years 2 months ago
Optimal Correspondences from Pairwise Constraints
Correspondence problems are of great importance in computer vision. They appear as subtasks in many applications such as object recognition, merging partial 3D reconstructions a...
Olof Enqvist, Klas Josephson, Fredrik Kahl
ECCV
2004
Springer
15 years 11 months ago
General Linear Cameras
Abstract. We present a General Linear Camera (GLC) model that unifies many previous camera models into a single representation. The GLC model is capable of describing all perspecti...
Jingyi Yu, Leonard McMillan
TNN
2008
141views more  TNN 2008»
14 years 9 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
CVIU
2011
14 years 1 months ago
Polynomial algorithms for subisomorphism of nD open combinatorial maps
Combinatorial maps describe the subdivision of objects in cells, and incidence and adjacency relations between cells, and they are widely used to model 2D and 3D images. However, ...
Guillaume Damiand, Christine Solnon, Colin de la H...
FPGA
1999
ACM
123views FPGA» more  FPGA 1999»
15 years 2 months ago
Procedural Texture Mapping on FPGAs
Procedural textures can be effectively used to enhance the visual realism of computer rendered images. Procedural textures can provide higher realism for 3-D objects than traditio...
Andy Gean Ye, David M. Lewis