Gradient Field Correlation for Keypoint Correspondence

Engin, Zeynep; Lim, Myo–Taeg; Bharath, Anil A.

doi:10.1109/icip.2007.4379197

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Slice-to-slice Correspondence Estimation1

Introduction1

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2008

2022

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Cited by 3 publications

(2 citation statements)

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“…There are a variety of ways that one could find such correspondences, such as patch correlations [11] or feature matching [12]. A deformable image registration method is applied here, which represents the correspondences as a smooth displacement field.…”

Section: Slice-to-slice Correspondence Estimationmentioning

confidence: 99%

Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation

Pan

Jeong

Whitaker

2011

Computer Vision and Image Understanding

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Section: Slice-to-slice Correspondence Estimationmentioning

confidence: 99%

Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation

Pan

Jeong

Whitaker

2011

Computer Vision and Image Understanding

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“…Recently, as an alternative to the intensity correlation methods, the use of 'orientation' information in correlation based matching methods has been suggested in various literatures [6,7,8], giving more emphasis to the 'form' rather than the fragile color or intensity constancy assumption. However, the edge feature of object is strong structured information, and the efficiency of many image processing and computer vision tasks depends on the perfection of detecting meaningful edges [9,10].…”

Section: Introductionmentioning

confidence: 99%

Edge-based synthetic discriminant function for distortion invariant object recognition

Huang

2008

2008 15th IEEE International Conference on Image Processing

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A new edge correlation based matching method has been presented as an alternative to the typical implementation of intensity correlation based matching. The synthetic discriminant function (SDF) is well known correlation filter for distortion invariant object recognition, and the edge-based SDF (ESDF) presented here utilizes the 'structured information' rather than the fragile color or intensity constancy assumption. To satisfy the constraint of the same correlation peak value, an iterative method is proposed to adjust the coefficients of training images. We apply this ESDF to stamp sheet automatic segmentation and stamp perforations quality monitoring. The ESDF approach clearly outperformed in the extensive comparative experiments, showing its capabilities to perform distortion invariant object recognition.

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