Thus, there is a pressing need for research on UAV cross-modal image registration. At present, a scarcity of datasets has limited the development of this area. For this reason, we construct a dataset for visible infrared image registration (UAV-VIIR), which consists of 5560 image pairs. ...
We introduce a cross-modal registration method, mBrainAligner, which uses coherent landmark mapping and deep neural networks to align whole mouse brain images to the standard Allen Common Coordinate Framework atlas. We build a brain atlas for the fluorescence micro-optical sectioning tomography ...
我们创建了一个coherent landmark mapping(CLM) method,我们建立了一个完整的配准pipline,named mBrainAligner,来映射完整的大脑以及数字化重建的神经结构。它使用了一个 detection-mapping策略,下同的解决了跨模态配准的问题,如:跨模态landmmark 存在问题,·筛选不可靠匹配,对于脑图谱嵌入先验利用效率低下(使用深度提...
Thus, there is a pressing need for research on UAV cross-modal image registration. At present, a scarcity of datasets has limited the development of this area. For this reason, we construct a dataset for visible infrared image registration (UAV-VIIR), which consists of 5560 image pairs. ...
(b) Fusion results after cross-modal registration using the algorithm proposed in this paper. In contrast, the proposed registration method shows desirable alignment and ghost elimination. Nevertheless, such GAN-based image translation tends to produce shape inconsistencies, which in turn worsen the ...
Cross-modal coherent registration of whole mouse brains 下载积分: 500 内容提示: Articleshttps://doi.org/10.1038/s41592-021-01334-w1 Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of ...
Song, X., et al.: Cross-modal attention for MRI and ultrasound volume registration. In: de Bruijne, M., et al. (eds.) MICCAI 2021. LNCS, vol. 12904, pp. 66–75. Springer, Cham (2021).https://doi.org/10.1007/978-3-030-87202-1_7 ...
项目链接:github.com/choyingw/Cross-Modal-Perceptionist 引言 该项工作研究能否从语音中还原人脸3D几何信息这一问题,提出了CMP(Cross-Modal Perceptionist)分析框架,旨在为未来以人为中心的跨模态学习提供可解释的基础。作者在CMP框架下将该问题分解为四个部分: 从语音信号中预测视觉上合理的人脸网格是否可行? 对同一...
Non-rigid registration of multi-modal images using both mutual information and cross-correlation The hierarchical subdivision strategy which decomposes a non-rigid matching problem into numerous local rigid transformations is a very common approach in ... A Andronache,MV Siebenthal,G Székely,... - ...
几篇论文实现代码:《Cross-Modal Contrastive Learning for Text-to-Image Generation》(CVPR 2021) GitHub:https:// github.com/google-research/xmcgan_image_generation 《DANNet: A One-Stage Domain Adapt...