Recent descriptors for challenging conditions, 대한전자공학회 영상이해연구회 여름학교, 2016.08 [download]
영상의 의미론적 정합을 위한 Deep Learning 기반 특징 추출, 대한전자공학회 영상이해연구회 겨울학교, 2017.01 [download]
딥러닝 기반 영상 기술자: 이론과 응용, CICS 워크샵, 2018.10 [download]
Large-scale Outdoor RGB+D dataset and Its Application to Single Image Depth Estimation, Postech 세미나, 2019.04 [download]
AI와 컴퓨터비전을 위한 기초 선형대수,영상신호처리연구회 여름학교, 2019.07 [download]
Dataset
RGB-D Dataset [download]
We introduce an RGB-D scene dataset consisting of more than 200 indoor / outdoor scenes. This dataset contains synchronized RGB-D frames from both Kinect v2 and Zed stereo camera. For the outdoor scene, we first generate disparity maps using an accurate stereo matching method and convert them using calibration parameters. A per-pixel confidence map of disparity is also provided. Our scenes are captured at various places, e.g., offices, rooms, dormitory, exhibition center, street, road etc., from Yonsei University and Chungnam National University.