[Registration] LIFT: Learned Invariant Feature Transform
LIFT(Learned Invariant Feature Transform)는 딥러닝 기반의 특징점 추출 및 매칭 기법입니다.
Recent posts
[Registration] Harris corner detection
Harris 코너 검출 알고리즘은 이미지에서 코너를 추출 하는 알고리즘의 대표적인 예입니다.
[Registration] HLoc = SuperPoint (feature extractor) + SuperGlue (matcher)
HLoc = SuperPoint(as feature extractor) + SuperGlue(as feature matcher)
[Registration] Features from Accelerated Segment Test (FAST)
Features from Accelerated Segment Test (FAST)의 경우 실시간 특징점 추출을 고려하여 만들어진 알고리즘
[Registration] Superpoints, Repeatability, descriptor matching
downsample the input point clouds into superpoints and then match them through examining whether their local neighborhood (patch) overlaps.