Useful CV for cattle people's URLs and major contributions

CV character 1:jianbo Shi Skimbo graduated from UC Berkeley, mentor is Jitendra Malik. Its most influential research results: Image segmentation. In 2000, it published "Noramlized Cuts and image segmentation" in cooperation with Pami. This is the most classical algorithm in the field of image segmentation. Home: www.cis.upenn.edu/~jshi/and www.cs.cmu.edu/~jshi/

CV character 2:kristen Grauman graduated from MIT, Mentor is Trevor Darrell. Its most influential research results: Pyramid match Kernel for image matching. She and Darrell in 2005 CVPR co-published "The Pyramid Match kernel:discriminative classification with sets of Image Features". The pyramid matching kernel function can quickly search for the matching features between two feature sets, which can be applied to image matching and object recognition, and is one of the classical algorithms in this field. 2011 Marr Award winner. Home: www.cs.utexas.edu/~grauman/

CV character 3:irfan Essa, who is currently teaching at Georgin Tech Georgia Tech, graduated from MIT with the most influential research results: facial expression recognition. Essa and Alex Penland in 1997 Pami co-published "Coding, analysis,interpretation,and recognition of facial expression", Combined with a geometric model and facial muscle weakness model, it is used to describe facial structures. Home: Www.ic.gatech.edu/people/irfan-essa

CV character 4:matthew Turk graduated from MIT with one of the most influential research results: face recognition. It and Alex Pentland published "Eigenfaces for the Face recognition" in 1991. The first time the PCA (Principal Component analysis) is introduced into facial recognition, Human face recognition is the most classic method, and was realized, open source in OpenCV. Home: www.cs.ucsb.edu/~mturk/

CV character 5:david Lowe graduated from Stanford University, the mentor is Thomas Binfold, the most influential research results: SIFT. He is the inventor of the SIFT feature point detection. Since SIFT has the advantage of invariance of image translation, rotation and scale change, sift has become the most popular image feature point detection method in recent ten years, and is widely used in image matching, object recognition, classification and other fields. Home: http://www.cs.ubc.ca/~lowe/

CV character 6:pascal Fua graduated from Orsay, Mentor is O.d.faugera. The most influential research results: Stereoscopic vision. It published in 1993, "A parallel stereo algorithm that produces dense depth maps and preserves image features", proposed the use of correlation to estimate the dense depth map of the rapid Parallel stereo vision algorithm is one of the classical algorithms in the field of stereoscopic vision. Home: http://cvlab.epfl.ch/~fua/and Http://people.epfl.ch/pascal.fua

CV character 7:luc Van Gool graduated from Katholieke Universiteit Leuven. Most Influential research results: Image feature point detection and camera calibration. Gool et Fameng's surf (speeded up robust features) is the most widely used feature point detection algorithm in addition to sift, Surf has the advantage of faster extraction speed and lower dimension, and is widely applied to object detection and recognition. OpenCV Open source. Marc Pollefeys, Koch and Goolz 1999 IJCV published "Self-calibration and Metric reconstruction inspite of varying and unknown intrins IC camera parameters is the most classic paper in the field of camera self-calibration and was awarded the 1998 Marr Award. Home: http://www.vision.ee.ethz.ch/~vangool/

CV character 8:michal Irani graduated from Hebrew University with the most influential research results: Super resolution. She and Peleg in 1991 in graphical Models and image processing published "Improving resolution by Image registration", proposed the use of iterative, Inverse projection method to solve the problem of image amplification is the most classical image super-resolution algorithm. I realized in the company's product clarity enhancement algorithm on the basis of reference to the idea of the algorithm haha. Home: http://www.wisdom.weizmann.ac.il/~irani/

CV character 9:jean Ponce graduated from Paris Orsay, the most influential research results: Computer vision Education, object recognition. His "computer vision:a Modern Approach", written by David Forsyth, is regarded as one of the most classic textbooks in the field of modern computer vision. Its research focus in recent years is object recognition, one of the inventors of spatial Pyramid matching algorithm, which takes into account the spatial relationship between some local features compared to the previously widely used Bag-of-words method, and therefore more effectively describes the characteristics of objects. is one of the most commonly used algorithms at present. Home: http://www.di.ens.fr/~ponce/

CV character 10:andrew Blake graduated from Edinburgh, the most influential research results: target tracking, image segmentation, human posture tracking and analysis. He is a world-renowned CV expert who won the ECCV Best Paper Award and 1 Marr Awards two times. He and Michael Isard in 1998 IJCV "Condensation---conditional density propagation for visual tracking", using particle filters for target tracking, Classic paper in this field. Two people 1998 years write another "Active contours" is the image segmentation domain classical algorithm, the algorithm uses the spline function, through the minimization energy function, is the spline approximation object contour, on the basis of this algorithm, has derived the famous Active shape model. Blake led by Shine in the human posture tracking and analysis up the breakthrough, used in the Kinect. Home: Http://research.microsoft.com/~ablake

CV character 11:antonio Criminisi graduated from Oxford University with the mentor of Andrew Zisserman and Ian Reid. The most influential research results: Image inpaiting. He published "Region filling and object removal by exemplar-based image Inpainting" in 2004. This method is used to remove large occlusion or small scratches in the image, and it combines the image patching technique of sampling texture generation and structure transfer to obtain good results. Home: http://research.microsoft.com/en-us/people/antcrim/

CV character 12:paul Viola graduated from MIT, research field: Target detection, most influential research results: face detection; he and Michael Jones published Cvpr in 2001, "Rapid object detection using a boosted Cascade of simple Features ", the real sense of solving the problem of face detection, and open the boosting algorithm of an era, many scholars by the boosting Cascade algorithm, extended the application of the algorithm, the impact of the power. Home: http://research.microsoft.com/en-us/um/people/viola/

CV character 13:henry Rowley graduated from CMU, mentor: Takeo Kanade; Research areas: large-scale image recognition and machine learning; the most influential research results: face detection; he uses artificial neural networks for face detection, which is Paul. Viola's boosting cascade Face detection algorithm appears before the most classical face detection algorithm. Home: http://www.cs.cmu.edu/~har/

CV character 14:dorin Comaniclu graduated from Rutgers; the most influential research results: target tracking, image segmentation; he published in 2000 "Real-time tracking of Non-rigid objects using mean Shift ". The algorithm first uses Mean shift for target tracking, and in 2002 Pami published "Mean shift:a robust approach toward feature space analysis", And the meanshift extension is applied to image segmentation. Home: http://coewww.rutgers.edu/riul/FORMER/comanici/

CV character 15:henry Schneiderman graduated from CMU, mentor: Takeo Kanade; Research areas: target detection and identification; the most influential research results: target detection; he published "A CVPR method" in 2000 statistical. For 3D object detection applied to faces and cars ". The algorithm uses multi-view training samples, which can be used to detect objects in different viewing angles, such as faces and cars, and is the first algorithm to detect side faces. He created the Pittpatt company and was later acquired by Google. Home: http://www.cs.cmu.edu/~hws/

CV character 16:william T.freeman graduated from MIT; research areas: ML for CV, Bayesian model for visual perception, computational photography; the most influential research results: image texture synthesis; Alex. Efros and Freeman in 2001 SIGGRAPH published "Image quilting for texture synthesis and transfer", the idea is to get the small pieces from the known image, and then the small pieces of splicing mosaic together, form a new image. The algorithm is a classic in the image texture synthesis. Home: http://people.csail.mit.edu/billf/

CV character 17:feifei Li Ms Li, graduated from Caltech; mentor: Pietro Perona; Research areas: Object Bank, Scene classification, imagenet, etc. most influential research results: image recognition She established the standard test library caltech101/256 in the field of image recognition. Is the driving force of the word packet method. Home: http://vision.stanford.edu/~feifeili/

CV character 18:jitendra Malik graduated from Stanford University; Mentor: Thomas O.binford; Research areas: contour detection, image/video segmentation, graphics matching, target recognition, etc. most influential research results: edge detection, image segmentation and shape matching Malik cultivated a lot of cattle, cattle, mentors, you say cows are not cattle. Trained Alexie Efros, Jianbo Shi, Paul Debevec, Pietro Perona, Serge J.belongie, Yair Weiss and other well-known experts. Home: http://www.cs.berkeley.edu/~malik/

CV character 19:alexie Efros graduated from Berkeley University; Mentor: Jitendra Malik; Research area: Qualitative reasoning for Image understanding, Building the Visual Memex, etc.; the most influential research results: image texture synthesis; he published "Texture Synthesis by Non-parametric sampling" in 1999 ICCV. In this paper, MRF is introduced into texture synthesis. This method preserves the local structure of the texture to a minimum. Home: https://www.cs.cmu.edu/~efros/

CV character 20:andrew Zisserman graduated from Cambridge University; the most influential research results: visual geometry, target recognition, visual search; he's got a three-time prize for Marr. is the authority of the CV Industry Authority. The man who did the CV did not read his book of multi-Vision geometry for the CV. Since 2007, I have spent 2 years reading and coding the realization of all of the two visual geometry content. Home: http://www.robots.ox.ac.uk/~az/

CV character 21:ian D.reid graduated from Oxford University; the most influential research results: target tracking; he published "Monoslam:real-time single Camera SLAM" in 2007 Pami, a classic paper in the field of tracking and robotic navigation. In 2011 CVPR, and Ben Benfold published the "Stable Multi-target Tracking in real-time survillance video". Home: http://www.robots.ox.ac.uk/~ian/

CV character 22:alan L.yuille graduated from Cambridge University; Mentor: S.w.hawking; The most influential research results: face detection and tracking; In 1992 IJCV published "Feature Extraciton from Faces Using Deformable Templates ". This paper first uses deformable template to describe the features of human face, such as eyes, mouth, etc. Home: http://www.stat.ucla.edu/~yuille/

CV character 23:david Forsyth graduated from Oxford University; the most influential research results: computer vision Education, three-dimensional reconstruction, image and semantic information; he wrote with Jean Ponce "computer vision:a Modern Approach" is a classic CV textbook Ah, originally I was carefully studied, coded to achieve. 1993 because of the paper "extracing projective Structure from a single perspective views of 3D Point sets", and won the Marr Award. Home: http://luthuli.cs.uiuc.edu/~daf/

CV character 24:ram Nevatia graduated from Stanford University; mentor Thomas O.binford; The most influential research results: Object geometry Description, human body detection and tracking; his description of the generalized cylinder shape of three-dimensional objects is one of the classical research methods of early object recognition. Home: http://iris.usc.edu/people/nevatia/index.html

CV character 25:paul Debevec graduated from Berkeley University; Mentor: Jitendra Malik; Research results: HDR, IBR; He is a well-known cattle man who combines CV and CG research. Many of the results are used in Hollywood movies. He invented the light stage face capture reconstruction technology, based on his research findings in the 2000 SIGGRAPH, and was used in films such as Avatar. He therefore technical, and collaborators won the 2009 Academy Award for Science and Engineering. Home: http://www.pauldebevec.com/or http://ict.debevec.org/~debevec/

CV character 26:david Kriegman graduated from Stanford University, mentor: Thomas O.binford, the most influential research achievement: Face recognition, he published in 1997 Pami "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection ", the fisher linear decision is used for human face recognition. Home: http://cseweb.ucsd.edu/~kriegman/

CV character 27:michael J.black graduated from New York University; the most influential research results: human posture estimation and tracking; he published "Stochastic tracking of 3d human figures using 2d" in 2000 ECCV Image motion, which estimates and tracks the three-dimensional posture of various parts of the body from a single video. In 2010, he won the ECCV Koenderink Award for his dissertation. Home: http://cs.brown.edu/~black/

CV character 28:carlo Tomasi graduated from CMU, mentor Takeo Kanade, the most influential research results: the 1998 ICCV The bilateral filter "bilateral filtering for gray and color images". The earth Mover's distance as a metric for image retrieval, published in 2000, IJCV the EMD (Earth Mover's distance) to measure the distribution of images formed by different Color, texture, the similarity between the degree, and based on this to achieve image retrieval, the results of the search is better than the distribution histogram. Target tracking, the famous k-l-t tracking algorithm in T is Tomasi. Home: http://www.cs.duke.edu/~tomasi/

CV character 29:larry S.davis graduated from the University of Maryland; the most influential research results: video surveillance; W4 real-time video surveillance system, Davis and other people, is the earliest video surveillance system capable of real-time outdoor human detection, tracking and behavioral analysis. Home: http://www.umiacs.umd.edu/~lsd/

CV character 30:marc Pollefeys graduated from Katholieke Universiteit Leuven; the man who does the camera calibration doesn't know him, I despise you. Pollefeys,koch and Gool in 1999 IJCV published "Self-calibration and Metric reconstruction inspite of varying and unknown intrinsic Camera parameters ", is the most classic self-calibration paper, so won the 1993 Marr Award. In 2007, I carefully studied the CV PPT course offered by the homepage. Home: http://www.cs.unc.edu/~marc/

CV character 31:richard Szeliski graduated from CMU, mentor Takeo Kanade and Geoff Hinton. The book he wrote is good <computer vision:algorithms and applications> see http://szeliski.org/Book/
Home: http://research.microsoft.com/en-us/um/people/szeliski/