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» Modelling perception using image processing algorithms
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ICIP
2007
IEEE
16 years 7 months ago
Fundamental Matrix Estimation Without Prior Match
This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival [1], we sugg...
Frédéric Sur, Marie-Odile Berger, Ni...
ICIP
2001
IEEE
16 years 6 months ago
Efficient feature extraction for 2D/3D objects in mesh representation
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coefficients need to b...
Cha Zhang, Tsuhan Chen
ICIP
2009
IEEE
16 years 6 months ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is ...
ECCV
2006
Springer
16 years 7 months ago
Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
Abstract. In this paper we introduce a principled approach to modeling the image brightness constraint for optical flow algorithms. Using a simple noise model, we derive a probabil...
Venu Madhav Govindu
ICIP
1994
IEEE
16 years 6 months ago
Perceptual Image Distortion
In this paper, we present a perceptual distortion measure that predicts image integrity far better than mean-squared error. This perceptual distortion measure is based on a model ...
Patrick C. Teo, David J. Heeger