Depth estimation: Do we need to throw old things away?

발표자: 전해곤 (GIST 교수) 발표월: 2019.8. 더욱 다양한 영상을 보시려면 NAVER Engineering TV를 참고하세요. https://tv.naver.com/naverd2 ○ 목차 발표의 개요 : Human visual system 기반의 CNN for depth estimation과 CNN inspired by conventional methods Case1: Cross-channel stereo matching Case2: Depth from light field Case3: Multiview stereo Conclusion ○ 발표 슬라이드: - https://www.slideshare.net/NaverEngineering/depth-estimation-do-we-need-to-throw-old-things-away