Image stitching usually relies on spatial transformations to perform the overlap alignment and distortion mitigation. This paper presents a manifold optimization method to seek these transformations. The purpose is not to present a new formulation of image stitching...
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LivePortrait LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control. arXiv Avatar MotionGPT Human Motion as a Foreign Language, a unified motion-language generation model using LLMs. arXiv Avatar MusePose MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human ...
Moreover, the stitching of the segmented patches introduced boundary artifacts (blockish appearance) in the tumor probability heatmaps. The generated heatmaps were smooth when the inference was done on overlapping patches with larger patch-size and averaging the prediction probabilities at the ...
Image stitching by disparity-guided multi-plane alignment. Signal Process. 2022, 197, 108534. [Google Scholar] [CrossRef] Zhang, L.; Huang, H. Image Stitching with Manifold Optimization. IEEE Trans. Multimed. 2022, 10, 1109. [Google Scholar] [CrossRef] Zhang, Y.; Lai, Y.K.; Zhang, ...
We first formulate the problem of image registration as an optimization problem, and provide background information for two popular similarity metrics that we use in this work for comparisons. We then elaborate on how we estimate self-similarity between patches. We explain a graph-based α-MI ...
The space of rotations SO(3), being a manifold, has traditionally made such object recognition problems difficult.;In this work we present, and mathematically justify, algorithms--some of which are of the simulated annealing type--constructed to search through the space of locations, scales, and...
processing, such as 3D mesh segmentation. Since TPGIM is a 2D regular matrix and the pixel values are integers, is the process of finding the points in the image and stitching the cut boundary is very fast. Our method makes the irregular 3D mesh almost completely represented by 2D regular ...
The invention provides the manifold dimension-reducing medical image search method based on the quantum genetic optimization. In the method, an LLE nonlinear dimension-reducing method is improved, a local reconstructed weight matrix of the quantum genetic optimization is introduced, the influence of ...
Benefiting from the multi- modality data, MSIS [17] achieves realizable and outstand- ing stitching results. 2.3. Comparison with existing approaches The methods most relevant to our model are optimization- based methods and GAN-based generative methods. Con- ventional...