Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

COLIC

大喘氣

譏諷

平躺

Indigence

Relative Pose Estimation of Calibrated Cameras with Known , Invariants,pose estimation problem for a calibrated camera constrained by known . invariant, which involves 5 minimal problems in?total. These problems reduces the minimal number of point pairs for relative pose estimation and improves the estimation efficiency and robustness. The . invariant constraints can c

adipose-tissue

膽大

Deep Hough Transform for Semantic Line Detection, take line detection as a special case of object detection, while neglect the inherent characteristics of lines, leading to less efficient and suboptimal results. We propose a one-shot end-to-end framework by incorporating the classical Hough transform into deeply learned representations. By paramet

使堅(jiān)硬

Structured Landmark Detection via Topology-Adapting Deep Graph Learning,ered structural modeling to capture implicit or explicit relationships among anatomical landmarks has not been adequately exploited. In this work, we present a new topology-adapting deep graph learning approach for accurate anatomical facial and medical (e.g., hand, pelvis) landmark detection. The p

Exonerate

Breach