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» Randomness and Geometric Features in Computer Vision
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ICCV
2007
IEEE
14 years 9 months ago
Illumination and Affine- Invariant Point Matching using an Ordinal Approach
We present an approach for illumination and affineinvariant point matching using ordinal features. Ordinal measures for matching only consider the order between pixels and not the...
Raj Gupta, Anurag Mittal
ICCV
2007
IEEE
14 years 9 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han
ECCV
2006
Springer
14 years 9 months ago
Carved Visual Hulls for Image-Based Modeling
Abstract. This article presents a novel method for acquiring high-quality solid models of complex 3D shapes from multiple calibrated photographs. After the purely geometric constra...
Yasutaka Furukawa, Jean Ponce
ECCV
2002
Springer
14 years 9 months ago
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as...
Christophe Chefd'Hotel, David Tschumperlé, ...
ICPR
2006
IEEE
14 years 8 months ago
Estimating Geospatial Trajectory of a Moving Camera
This paper proposes a novel method for estimating the geospatial trajectory of a moving camera. The proposed method uses a set of reference images with known GPS (global positioni...
Asaad Hakeem, Mubarak Shah, Rita Cucchiara, Robert...