Edgel Templates for Fast Planar Object Detection and Pose Estimation

[摘要] We describe a method to select edgels and to calculate gradient orientation-based template descriptors for edgel features. An edgel is selected within a grid block based on gradient magnitude; its position and orientation are used to determine a canonical frame where the descriptor is computed based on quantized orientation. The resulting descriptor is efficiently matched using logical operations. We demonstrate the use of the resulting edgel detection and description method for planar object detection and pose estimation under severe scale, translation, rotation changes, and significant partial occlusions.

[发布机构] UCLA Henry Samueli School of Engineering and Applied Science

[学科分类] 计算机科学（综合）