Jooo's life story

Face Alignment Code : https://github.com/junyanz/FaceDemoPaper : http://people.eecs.berkeley.edu/~junyanz/projects/mirrormirror/mirrormirror_large.pdfSite : http://people.eecs.berkeley.edu/~junyanz/projects/mirrormirror/CLM(Constrained Local Models Tracking) Paper http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/papers/BMVC06/cristinacce_bmvc06.pdf

공개 코드 링크 Andelo Martinovic et. al.3D All The Way: Semantic Segmentation of Urban Scenes From Start to End in 3Dhttps://bitbucket.org/amartino/facade3d Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao3D ShapeNets: A Deep Representation for Volumetric Shape Modelinghttp://3dshapenets.cs.princeton.edu/3DShapeNetsCode.zip Sebastian Haner, Kalle ÅströmAbsolute Pose for Cameras Under Fl..

template inline T Limit(const T& value) { return ( (value > 255) ? 255 : ((value width; int imageHeight = colorSrcImage->height; int channelNum = colorSrcImage->nChannels; register int x, y; for(y=0; ywidthStep+x+2]; ///< red colorRawDat..

A real-time algorithm for the approximation of level-set based curve evolution[C++ Code] 코드 구조 및 원리 설명 정보 : C++/Qt로 되어 있음 관련 논문 |1| Y. Shi, W. C. Karl - A real-time algorithm for the approximation of level-set based curve evolution - IEEE Trans. Image Processing, vol. 17, no. 5, May 2008. |2| T. F. Chan, L. A. Vese - Active contours without edges - IEEE Trans. Image Processing, vol. 10, no. 2, F..

Robust Face Landmark Estimation under Occlusion : [matlab code]-[Caltech Occluded Faces in the Wild(COFW) Dataset] Face Alignment by Explicit Shape Regression : [c++ code][강좌][특허] [C++ code] Face Alignment at 3000 FPS via Regressing Local Binary Features : [matlab code] : liblinear 필요, 학습된 모델 파일 제공, DB 링크 제공: [slideshare] [video] ※ Image Path List 생성 프로그램 : - 유투브 동영상 댓글에서 발췌 : 추적의 경우 평균 모양(mean ..

Vision Datasets(database, db) : http://www.computervisiononline.com/datasetsMPII Human Pose dataset MPII Human Pose dataset LFW: Labeled Faces in the Wild Caltech Pedestrian Detection Benchmark 기타 등등

http://gti-work.blogspot.kr/2012/10/code-for-single-object-tracking.html#!/2012/10/code-for-single-object-tracking.html Code for single object tracking (Updated 21-Nov-2012) The purpose of this collection of code is to have a tool kit for the research of single object tracking (mainly focused on visual tracking, but not restricted to it). Contributions are welcomed, just add a remark at the end ..

Real-Time Compressive Tracking[논문][코드] 1. 하르(Haar) 특징 정의 2. 초기 객체 ROI를 기준으로 Positive 샘플과 Negative 샘플 수집 3. 각 샘플 영역에 대한 하르 특징 값 계산 4. 분류기 계산 ( 평균과 분산을 이용) ---- Tracking phase ---- 5. ROI를 기준으로 후보 ROI 검출(Search Window 영역 내부) 6. 각 후보 ROI에서 특징값 계산 7. 분류기 1) 각 샘플 ROI마다 모든 특징에 대해 pos확률과 neg 확률을 비교하여 pos와 neg의 값을 이용하여 비율이 최대가 되는 위치를 추적 위치로 정함 8. 선택된 추적 위치를 기준으로 2~4번을 수행하여 분류기를 갱신함.

http://www.codeproject.com/Articles/24809/Image-Alignment-Algorithms http://www.codeproject.com/Articles/25435/Image-Alignment-Algorithms-Part-II Implementing a Simple 2D Object Tracker : https://sites.google.com/site/olegkrivtsov/home 1 - forwards additive 2 - forwards compositional 3 - inverse additive 4 - inverse compositional Robust Full-Motion Recovery of Head by Dynamic Templates and Re-re..

ASIFT 사이트 : http://www.ipol.im/pub/art/2011/my-asift/ 온라인 데모와 소스 코드 공개