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Robust Low Transformed Multi-Rank Tensor Methods for Image Alignment
Journal of Scientific Computing, 2021Duo Qiu +3 more
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2005
Stitching multiple images together to create beautiful high-resolution panoramas is one of the most popular consumer applications of image registration and blending. In this chapter, I review the motion models (geometric transformations) that underlie panoramic image stitching, discuss direct intensity-based and feature-based registration algorithms ...
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Stitching multiple images together to create beautiful high-resolution panoramas is one of the most popular consumer applications of image registration and blending. In this chapter, I review the motion models (geometric transformations) that underlie panoramic image stitching, discuss direct intensity-based and feature-based registration algorithms ...
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ASRA: Automatic singular value decomposition-based robust fingerprint image alignment
Multimedia tools and applications, 2021Fagul Pandey +3 more
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Shape-Based Image Retrieval By Alignment
2011Among the existing Content Based Image Retrieval (CBIR) techniques for still images based on different perceptual features (e. g., colour, texture, etc.), shape-based methods are particularly challenging due to the intrinsic difficulties in dealing with shape localization and recognition problems.
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Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
International Conference on Learning RepresentationsRecent studies have shown that the denoising process in (generative) diffusion models can induce meaningful (discriminative) representations inside the model, though the quality of these representations still lags behind those learned through recent self-
Sihyun Yu +6 more
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ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
arXiv.orgDiffusion models have demonstrated remarkable performance in the domain of text-to-image generation. However, most widely used models still employ CLIP as their text encoder, which constrains their ability to comprehend dense prompts, encompassing ...
Xiwei Hu +5 more
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An overlap invariant entropy measure of 3D medical image alignment
Pattern Recognition, 1999C. Studholme, D. Hill, D. Hawkes
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Image registration by aligning entropies
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2005Maximization of mutual information is a powerful method for registering images (and other data) captured with different sensors or under varying conditions, since the technique is robust to variations in the image formation process. On the other hand, the high level of robustness allows false positives when matching over a large search space and also ...
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