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2013计算机视觉代码合集三

作者:cvchina | 分类:图像处理 | 标签:源码 人脸识别 立体视觉 目标检测 

Attributes and Semantic Features 

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 

3D Recognition 

Action Recognition 


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.

  • LFW – 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 

Face Detection 

  • FDDB – 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.

  • LFW – 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

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

Feature Detection and Description 

Action Recognition

RGBD Recognition 

Reference:

[1]: http://rogerioferis.com/VisualRecognitionAndSearch/Resources.html


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