Part-based Face Detector and Pose Estimation?– Implementation of a unified approach for face detection, pose estimation, and landmark localization (CVPR 2012).

Attributes and Semantic Features

Relative Attributes?– Modified implementation of RankSVM to train Relative Attributes (ICCV 2011).

Object Bank?– Implementation of object bank semantic features (NIPS 2010). See also?ActionBank

Classemes, Picodes, and Meta-class features?– Software for extracting high-level image descriptors (ECCV 2010, NIPS 2011, CVPR 2012).

Large-Scale Learning

Additive Kernels?– Source code for fast additive kernel SVM classifiers (PAMI 2013).

LIBLINEAR?– Library for large-scale linear SVM classification.

VLFeat?– Implementation for Pegasos SVM and Homogeneous Kernel map.

Fast Indexing and Image Retrieval

FLANN?– Library for performing fast approximate nearest neighbor.

Kernelized LSH?– Source code for Kernelized Locality-Sensitive Hashing (ICCV 2009).

ITQ Binary codes?– Code for generation of small binary codes using Iterative Quantization and other baselines such as Locality-Sensitive-Hashing (CVPR 2011).

INRIA Image Retrieval?– Efficient code for state-of-the-art large-scale image retrieval (CVPR 2011).

Object Detection

Pedestrian Detection at 100fps?– Very fast and accurate pedestrian detector (CVPR 2012).

Caltech Pedestrian Detection Benchmark?– Excellent resource for pedestrian detection, with various links for state-of-the-art implementations.

OpenCV?– Enhanced implementation of Viola&Jones real-time object detector, with trained models for face detection.

Efficient Subwindow Search?– Source code for branch-and-bound optimization for efficient object localization (CVPR 2008).

3D Recognition

Point-Cloud Library?– Library for 3D image and point cloud processing.

Action Recognition

ActionBank?– Source code for action recognition based on the ActionBank representation (CVPR 2012).

STIP Features?– software for computing space-time interest point descriptors

Independent Subspace Analysis?– Look for Stacked ISA for Videos (CVPR 2011)

Velocity Histories of Tracked Keypoints?- C++ code for activity recognition using the velocity histories of tracked keypoints (ICCV 2009)

Datasets

Attributes

Animals with Attributes?– 30,475 images of 50 animals classes with 6 pre-extracted feature representations for each image.

aYahoo and aPascal?– Attribute annotations for images collected from Yahoo and Pascal VOC 2008.

FaceTracer?– 15,000 faces annotated with 10 attributes and fiducial points.

PubFig?– 58,797 face images of 200 people with 73 attribute classifier outputs.

[url=http://vis-www.cs.umass.edu/lfw/]LFW[/url]?– 13,233 face images of 5,749 people with 73 attribute classifier outputs.

Human Attributes?– 8,000 people with annotated attributes. Check also this?link?for another dataset of human attributes.

SUN Attribute Database?– Large-scale scene attribute database with a taxonomy of 102 attributes.

ImageNet Attributes?– Variety of attribute labels for the ImageNet dataset.

Relative attributes?– Data for OSR and a subset of PubFig datasets. Check also this?link?for the WhittleSearch data.

Attribute Discovery Dataset?– Images of shopping categories associated with textual descriptions.

Fine-grained Visual Categorization

Caltech-UCSD Birds Dataset?– Hundreds of bird categories with annotated parts and attributes.

Stanford Dogs Dataset?– 20,000 images of 120 breeds of dogs from around the world.

Oxford-IIIT Pet Dataset?– 37 category pet dataset with roughly 200 images for each class. Pixel level trimap segmentation is included.

Leeds Butterfly Dataset?– 832 images of 10 species of butterflies.

Oxford Flower Dataset?– Hundreds of flower categories.

Face Detection

[url=http://vis-www.cs.umass.edu/fddb/]FDDB[/url]?– UMass face detection dataset and benchmark (5,000+ faces)

CMU/MIT?– Classical face detection dataset.

Face Recognition

Face Recognition Homepage?– Large collection of face recognition datasets.

[url=http://vis-www.cs.umass.edu/lfw/]LFW[/url]?– UMass unconstrained face recognition dataset (13,000+ face images).

NIST Face Homepage?– includes face recognition grand challenge (FRGC), vendor tests (FRVT) and others.

CMU Multi-PIE?– contains more than 750,000 images of 337 people, with 15 different views and 19 lighting conditions.

FERET?– Classical face recognition dataset.

Deng Cai’s face dataset in Matlab Format?– Easy to use if you want play with simple face datasets including Yale, ORL, PIE, and Extended Yale B.

SCFace?– Low-resolution face dataset captured from surveillance cameras.

Handwritten Digits

MNIST?– large dataset containing a training set of 60,000 examples, and a test set of 10,000 examples.

Pedestrian Detection

Caltech Pedestrian Detection Benchmark?– 10 hours of video taken from a vehicle,350K bounding boxes for about 2.3K unique pedestrians.

INRIA Person Dataset?– Currently one of the most popular pedestrian detection datasets.

ETH Pedestrian Dataset?– Urban dataset captured from a stereo rig mounted on a stroller.

TUD-Brussels Pedestrian Dataset?– Dataset with image pairs recorded in an crowded urban setting with an onboard camera.

PASCAL Human Detection?– One of 20 categories in PASCAL VOC detection challenges.

USC Pedestrian Dataset?– Small dataset captured from surveillance cameras.

Generic Object Recognition

ImageNet?– Currently the largest visual recognition dataset in terms of number of categories and images.

Tiny Images?– 80 million 32x32 low resolution images.

Pascal VOC?– One of the most influential visual recognition datasets.

Caltech 101?/?Caltech 256?– Popular image datasets containing 101 and 256 object categories, respectively.

MIT LabelMe?– Online annotation tool for building computer vision databases.

Scene Recognition

MIT SUN Dataset?– MIT scene understanding dataset.

UIUC Fifteen Scene Categories?– Dataset of 15 natural scene categories.

Feature Detection and Description

VGG Affine Dataset?– Widely used dataset for measuring performance of feature detection and description. CheckVLBenchmarksfor an evaluation framework.

Action Recognition

Benchmarking Activity Recognition?– CVPR 2012 tutorial covering various datasets for action recognition.

RGBD Recognition

RGB-D Object Dataset?– Dataset containing 300 common household objects

Reference:

CvPapers(好吧，牛吧網站，里面有ICCV，CVPR，ECCV，SIGGRAPH的論文收錄，然后還有一些論文的代碼搜集，要求加精！)：http://www.cvpapers.com/

Computer Vision Software(里面代碼很多，并詳細的給出了分類)：http://peipa.essex.ac.uk/info/software.html

MATLAB and Octave Functions for Computer Vision and Image Processing(這個里面的東西也很全，只是都是用Matlab和Octave開發的)：http://www.csse.uwa.edu.au/~pk/research/matlabfns/

MATLAB Functions for Multiple View Geometry(關于物體多視角計算的庫)：http://www.robots.ox.ac.uk/~vgg/hzbook/code/

Evolutive Algorithm based on Na?ve Bayes models Estimation(單獨列了一個算法的Code)：http://www.cvc.uab.cat/~xbaro/eanbe/#_Software 主頁代碼

MATLAB Normalized Cuts Segmentation Code：software

總結

以上是生活随笔為你收集整理的opentld matlab视频,计算机视觉中的相关算法的源代码的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。