A survey of image registration techniques
ACM Computing Surveys (CSUR)
Topographic Maps and Local Contrast Changes in Natural Images
International Journal of Computer Vision
A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Class of Algorithms for Fast Digital Image Registration
IEEE Transactions on Computers
Matching Images to Models for Registration and Object Detection via Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Images Using Linear Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Fast computation of a contrast-invariant image representation
IEEE Transactions on Image Processing
A color topographic map based on the dichromatic reflectance model
Journal on Image and Video Processing - Color in Image and Video Processing
Body color sets: A compact and reliable representation of images
Journal of Visual Communication and Image Representation
Mixed color/level lines and their stereo- matching with a modified Hausdorff distance
Integrated Computer-Aided Engineering
Robustness of c-velocity based methods for 3D moving plane detection
Pattern Recognition and Image Analysis
c-Velocity: A Flow-Cumulating Uncalibrated Approach for 3D Plane Detection
International Journal of Computer Vision
Error sources and their impact on c-velocity methods
Pattern Recognition and Image Analysis
A study on local photometric models and their application to robust tracking
Computer Vision and Image Understanding
Level-line primitives for image registration with figures of merit
Integrated Computer-Aided Engineering
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A new level-line registration technique is proposed for image transform estimation. This approach is robust towards contrast changes, does not require any estimate of the unknown transformation between images and tackles very challenging situations that usually lead to pairing ambiguities, like repetitive patterns in the images. The registration by itself is performed through efficient level-line cumulative matching based on a multi-stage primitive election procedure. Each stage provides a coarse estimate of the transformation that the next stage gets to refine. Even if we deal in this paper with similarity transform (rotation, scale and translation), our approach can be adapted to more general transformations.