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Results 1 - 10
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6,970
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
- International Journal of Computer Vision
, 1998
"... This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squares image r ..."
Abstract
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Cited by 656 (16 self)
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This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squares image
Fast Exhaustive Robust Matching
"... This work presents a fast exhaustive robust matching technique for aligning translated images. The key idea is to express a robust matching surface function in terms of correlation operations. Speed is obtained from computing correlations in the frequency domain. Different sized images and arbitrary ..."
Abstract
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Cited by 1 (0 self)
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This work presents a fast exhaustive robust matching technique for aligning translated images. The key idea is to express a robust matching surface function in terms of correlation operations. Speed is obtained from computing correlations in the frequency domain. Different sized images
Robust Matching By Partial Correlation
- IN PROCEEDINGS OF THE SIXTH BRITISH MACHINE VISION CONFERENCE
, 1995
"... Visual correspondence problem (matching), is an major issue in vision. Matching can be divided in feature-based and area-based matching. In area-basedmatching, correlation is a common tool for the visual correspondence problem. But most classical correlation methods fail near the disparity disconti ..."
Abstract
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Cited by 14 (2 self)
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Visual correspondence problem (matching), is an major issue in vision. Matching can be divided in feature-based and area-based matching. In area-basedmatching, correlation is a common tool for the visual correspondence problem. But most classical correlation methods fail near the disparity
A Robust Matched Detector
"... Abstract—We address the matched detector problem in the case the signal to be detected is imperfectly known. While in the standard detector the signal is known to lie along a particular direction, we consider the case where this direction is known up to additive white Gaussian noise. This somehow am ..."
Abstract
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Cited by 2 (0 self)
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Abstract—We address the matched detector problem in the case the signal to be detected is imperfectly known. While in the standard detector the signal is known to lie along a particular direction, we consider the case where this direction is known up to additive white Gaussian noise. This somehow
Performance evaluation of robust matching measures
- IN: PROC. 3RD INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS (VISAPP
, 2008
"... Robust matching measure, template matching, performance evaluation. This paper is aimed at evaluating the performances of different measures which have been proposed in literature for robust matching. In particular, classical matching metrics typically employed for this task are considered together ..."
Abstract
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Cited by 1 (1 self)
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Robust matching measure, template matching, performance evaluation. This paper is aimed at evaluating the performances of different measures which have been proposed in literature for robust matching. In particular, classical matching metrics typically employed for this task are considered together
A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry
, 1994
"... ..."
Robust matching of affinely transformed objects
- In IEEE International Conference on Image Processing (ICIP
, 2003
"... This paper presents a general robust solution for the problem of affine object matching, whereby an object can be given as a discrete point set, a set of lines, or a closed region. Let be given two such objects which are related by a general affine transformation (up to noise and maybe some addition ..."
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Cited by 4 (1 self)
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This paper presents a general robust solution for the problem of affine object matching, whereby an object can be given as a discrete point set, a set of lines, or a closed region. Let be given two such objects which are related by a general affine transformation (up to noise and maybe some
Robust matched filtering in the feature space
, 2005
"... ABSTRACT In this paper the problem of detecting a known waveform in noise is solved in a high dimensional transformed (feature) space. The proposed test statistic is the inner product between two hyperplanes constructed using the nonlinearly transformed template and observations, which becomes a si ..."
Abstract
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Cited by 2 (0 self)
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procedure since one of the projectors can be fixed in advance. Some simulation results indicate that the proposed test statistic achieves the optimal performance of the linear matched filter under Gaussian noise, but shows an increased robustness against impulsive noise distributions.
EigenTracking: Robust Matching and Tracking of
- International Journal of Computer Vision
, 1996
"... This paper describes a new approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squaresim ..."
Abstract
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This paper describes a new approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least
Results 1 - 10
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6,970
