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Computer Vision, Graphics, and Image Processing
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Computer Vision, Graphics, and Image Processing
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Image registration using a new edge-based approach
Computer Vision and Image Understanding
Text enhancement in digital video using multiple frame integration
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A fast and robust image registration method based on an early consensus paradigm
Pattern Recognition Letters
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mosaicing-by-recognition: a technique for video-based text recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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This paper introduces a fast image mosaicing technique that does not require costly search on image domain (e.g., pixel-to-pixel correspondence search on the image domain) and the iterative optimization (e.g., gradient-based optimization, iterative optimization, and random optimization) of geometric transformation parameter. The proposed technique is organized in a two-step manner. At both steps, histograms are fully utilized for high computational efficiency. At the first step, a histogram of pixel feature values is utilized to detect pairs of pixels with the same rare feature values as candidates of corresponding pixel pairs. At the second step, a histogram of transformation parameter values is utilized to determine the most reliable transformation parameter value. Experimental results showed that the proposed technique can provide reasonable mosaicing results in most cases with very feasible computations.