Titlebook: Image and Graphics; 11th International C Yuxin Peng,Shi-Min Hu,Kun Xu Conference proceedings 2021 Springer Nature Switzerland AG 2021 artif

FAD

書目名稱Image and Graphics影響因子(影響力)




書目名稱Image and Graphics影響因子(影響力)學(xué)科排名




書目名稱Image and Graphics網(wǎng)絡(luò)公開(kāi)度




書目名稱Image and Graphics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Image and Graphics被引頻次




書目名稱Image and Graphics被引頻次學(xué)科排名




書目名稱Image and Graphics年度引用




書目名稱Image and Graphics年度引用學(xué)科排名




書目名稱Image and Graphics讀者反饋




書目名稱Image and Graphics讀者反饋學(xué)科排名

Immortal

Plaque

reception

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461487.jpg

Crumple

Antecedent

Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer and provides support for multi-sensor fusion. Specifically, the cross-domain descriptor extraction between 2D images and 3D point clouds is a solution to achieve 2D-3D matching. Essentially, the 3D point cloud volumes and 2D image patches can be sampled based on the keypoints of 3D point clouds and

Myofibrils

A Stereo Matching Method for Three-Dimensional Eye Localization of Autostereoscopic Display eye localization. Due to the need of displaying high frame rate video images, higher requirements are put forward on the real-time performance of the three-dimensional eye localization algorithm. The three-dimensional measurement of the distance of the eye is particularly complicated, and stereo ma

表示向下

滲透

Homocystinuria

Bird Keypoint Detection via Exploiting 2D Texture and 3D Geometric Featureson methods have poor performance on symmetric keypoints, because they mainly use texture features only, which usually can not distinguish between symmetric keypoints, such as the keypoints on left and right legs. Besides, these methods cannot deal well with the complex image background. Therefore, w