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在数据集上和别人的结果进行比较，可以量化视觉工作的结果。列举一些从书上摘来的流行的数据集。

CUReT: Columbia-Utrecht Reflectance and Texture Database,http://www1.cs.columbia.

edu/CAVE/software/curet/(Dana, van Ginneken, Nayaret al.1999).

Middlebury Color Datasets: 包含不同相机拍摄的彩色图片，用于研究相机如何对色域和颜色进行变换, http://vision.middlebury.edu/color/data/

(Chakrabarti, Scharstein, and Zickler 2009).

Middlebury test datasets for evaluating MRF minimization/inference algorithms,http:

//vision.middlebury.edu/MRF/results/ (Szeliski, Zabih, Scharsteinet al.2008).

hapter4: Feature detection and matching

Affine Covariant Features database for evaluating feature detector and descriptor match-

ing quality and repeatability, http://www.robots.ox.ac.uk/

vgg/research/affine/(Miko-

lajczyk and Schmid 2005; Mikolajczyk, Tuytelaars, Schmidet al.2005).

Database of matched image patches for learning and feature descriptor evaluation,

http://cvlab.epfl.ch/

brown/patchdata/patchdata.html(Winder and Brown 2007; Hua,

Brown, and Winder 2007).

Chapter5: Segmentation

Berkeley Segmentation Dataset and Benchmark of 1000 images labeled by 30 humans,

along with an evaluation, http://www.eecs.berkeley.edu/Research/Projects/CS/vision/

grouping/segbench/(Martin, Fowlkes, Talet al.2001).

Weizmann segmentation evaluation database of 100 grayscale images with ground

truth segmentations, http://www.wisdom.weizmann.ac.il/

vision/SegEvaluationDB/

index.html (Alpert, Galun, Basriet al.2007).

Chapter8: Dense motion estimation

The Middlebury optic flow evaluation Web site,http://vision.middlebury.edu/flow/data

(Baker, Scharstein, Lewiset al.2009).

The Human-Assisted Motion Annotation database,

http://people.csail.mit.edu/celiu/motionAnnotation/(Liu, Freeman, Adelsonet al.2008)

Chapter10: Computational photography

High Dynamic Range radiance maps,http://www.debevec.org/Research/HDR/ (De-

bevec and Malik 1997).

Alpha matting evaluation Web site,http://alphamatting.com/(Rhemann, Rother, Wang

et al.2009).

Chapter11: Stereo correspondence

Middlebury Stereo Datasets and Evaluation,http://vision.middlebury.edu/stereo/(Scharst

and Szeliski 2002).

Stereo Classification and Performance Evaluation of different aggregation costs for

stereo matching, http://www.vision.deis.unibo.it/spe/SPEHome.aspx(Tombari, Mat-

toccia, Di Stefano et al.2008).

Middlebury Multi-View Stereo Datasets,http://vision.middlebury.edu/mview/data/(Seitz

Curless, Diebelet al.2006).

Multi-view and Oxford Colleges building reconstructions,http://www.robots.ox.ac.uk/

vgg/data/data-mview.html.

Multi-View Stereo Datasets,http://cvlab.epfl.ch/data/strechamvs/(Strecha, Fransens,

and Van Gool 2006).

Multi-View Evaluation,http://cvlab.epfl.ch/

strecha/multiview/(Strecha, von Hansen,

Van Goolet al.2008).

hapter12: 3D reconstruction

HumanEva: synchronized video and motion capture dataset for evaluation of artic-

ulated human motion,http://vision.cs.brown.edu/humaneva/(Sigal, Balan, and Black

2010).

hapter13: Image-based rendering

The (New) Stanford Light Field Archive,http://lightfield.stanford.edu/(Wilburn, Joshi,

Vaishet al.2005).

Virtual Viewpoint Video: multi-viewpoint video with per-frame depth maps,http:

//research.microsoft.com/en-us/um/redmond/groups/ivm/vvv/ (Zitnick, Kang, Uytten-

daeleet al.2004).

hapter14: Recognition

For a list of visual recognition datasets, see Tables14.1–14.2. In addition to those,

there are also:

Buffy pose classes,http://www.robots.ox.ac.uk/

vgg/data/buffyposeclasses/and Buffy

stickmen V2.1,http://www.robots.ox.ac.uk/

vgg/data/stickmen/index.html(Ferrari, Marin

Jimenez, and Zisserman 2009; Eichner and Ferrari 2009).

H3D database of pose/joint annotated photographs of humans,http://www.eecs.berkeley.

edu/

lbourdev/h3d/ (Bourdev and Malik 2009).

Action Recognition Datasets,http://www.cs.berkeley.edu/projects/vision/action, has point-

ers to several datasets for action and activity recognition, as well as some papers. The

human action database athttp://www.nada.kth.se/cvap/actions/contains more action

sequences.

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