ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
We present an algorithm for edge detection suitable for both natural as well as noisy images. Our method is based on efficient multiscale utilization of elongated filters measurin...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock g...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Recently, methods for estimating 3D scene geometry or absolute scene depth information from 2D image content have been proposed. However, general applicability of these methods in...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
We introduce the Tsallis divergence error measure in the context of pLSA matrix and tensor decompositions showing much improved performance in the presence of noise. The focus of ...