스케일 불변 특징점 검출 (SIFT, SURF)

참조 : 컴퓨터 비전 (오일석) 참조 : https://medium.com/data-breach/introduction-to-sift-scale-invariant-feature-transform-65d7f3a72d40 참조 : https://ballentain.tistory.com/47 참조 : https://bskyvision.com/21 참조...

Karhunen-Loeve Transform (KLT, Hottelling Transform) 알아보기

vision 관련 글 목차 참조 : https://www.commsp.ee.ic.ac.uk/~tania/teaching/DIP%202014/Image%20Transforms.pdf 참조 : 영상신호처리 강의 (연세대학교, 최윤식 교수님) 이번...

이미지 압축 알아보기

선형 시불변 시스템 (Linear Time-Invariant System)

Signal and System 목차 참조 : Signals and Systems 2nd Edition (Alan Oppenheim) 목차 이산시간...

Fourier transform (푸리에 변환)

참조 : Introduction to Computer Vision 참조 : https://youtu.be/TB1A2-Db67s 참조 : https://www.youtube.com/watch?v=spUNpyF58BY 참조 : https://www.youtube.com/playlist?list=PL5yujGYFVt0DhDXdKkFeou8zSV-KjOlAG...

DenseCRF, Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Segmentation 관련 글 목차 논문 : https://arxiv.org/abs/1210.5644?context=cs 참조 : http://cnyah.com/2017/08/26/from-naive-bayes-to-linear-chain-CRF/ 참조 : https://towardsdatascience.com/implementing-a-linear-chain-conditional-random-field-crf-in-pytorch-16b0b9c4b4ea 참조 :...

Huber Loss와 Berhu (Reverse Huber) Loss (A robust hybrid of lasso and ridge regression)

deep learning 관련 글 목차 참조 : https://artowen.su.domains/reports/hhu.pdf 참조 : https://arxiv.org/pdf/1606.00373.pdf 참조 : https://velog.io/@gjtang/Huber-Loss%EB%9E%80 참조...

특징 추출 (Feature Extraction)

참조 : 패턴 인식 (오일석) 이번 글에서는 머신 러닝에서 자주 언급되는 용어인 특징 추출 (Feature...

신호와 시스템 (Signal and System)

Signal and System 목차 참조 : Signals and Systems 2nd Edition (Alan Oppenheim) 목차 신호와...

Direct Linear Transformation

참조 : http://www.cs.cmu.edu/~16385/s17/Slides/10.2_2D_Alignment__DLT.pdf 참조 : https://gaussian37.github.io/vision-concept-geometric_transformation/ 이번 글에서는 Homography 적용 시 4개의 점을 이용하여 3...