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...
Intraoperative Registration by Cross-ModalInverse Neural RenderingMaximilian Fehrentz 1,2 , Mohammad Farid Azampour 2 , Reuben Dorent 1 ,Hassan Rasheed 1,2 , Colin Galvin 1 , Alexandra Golby 1 , William M. Wells 1,3 ,Sarah Frisken 1 , Nassir Navab 2 , and Nazim Haouchine 11Harvard Med...
CrossModalNet: exploiting quality preoperative images for multimodal image registration The method consists of two parts: DR-DRR contour predictions and contour-based rigid registration. We have designed the CrossModal Attention Module and ... J Sun,C Liu,C Li,... - 《Physics in Medicine & Bio...
《DeepI2P: Image-to-Point Cloud Registration via Deep Classification》(2021) GitHub:https:// github.com/lijx10/DeepI2P《Calliar: An Online Handwritten Dataset for Arabic Calligraphy》(2021) GitHub:https:// github.com/ARBML/Calliar [fig4]...
作者针对3D人脸网格设计了line-based、point-based和region-based三种评估指标,分别基于常用面部点、 面部特征点(3D facial landmark)和表面配准(surface registration),这里主要介绍line-based的评估指标ARE(Absolute Ratio Error)。 图4:计算ARE时使用的常用面部点 ...
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The resulting functional images were aligned to the T1-weighted anatomical image through rigid-body registration, and smoothed using a 6 mm full-width at half-maximum (FWHM) Gaussian kernel. We analysed the preprocessed data from our task-positive sessions using the general linear model (GLM) ...
Associating multiple sensory cues with objects and experience is a fundamental brain process that improves object recognition and memory performance. However, neural mechanisms that bind sensory features during learning and augment memory expression are