2012-雅典娜之梦的书单

一日不读书,没人看的出;一周不读书,开始会暴粗;一月不读书,智商不如猪。

 唯恐变成一只车见爆胎的小母猪,2012要列一个小书单,督促自己的修身修行。根据豆瓣的评论,我暂时列了这几本,未来也会跟进“读后感”或者“书评”。

     

哈,就到这里吧~ 这里是我上传到skydrive网盘的下载地址:

2012雅典娜之梦的书单       

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TED Speech (TED 演讲集推荐)

This is the TED speech list.

这是TED的演讲列表。

http://www.soku.com/search_video/q_ted%E6%BC%94%E8%AE%B2%E9%9B%86

[leadership]

【领导力】

Those who lead inspire us, whether they are individuals or organizations. We follow those who lead, not because we have to, but because we want to. We follow those who lead, not for them, but for ourselves.

领导,就是那些能激励我们的个人或者组织。我们 跟随那些人,并不是因为我们必须要跟随他们,而是我们希望跟随他们。我们跟随那些人,不是为了他们,而是为了我们自己。

[Never tell others about your determined decision]

【下定的目標可別告訴別人】

Keep your  mouth closed if you really want to do something.

如果你真的想要做什么事情,千万不要告诉别人。

[The potential influence of human relations]

人际关系的潜在影响

The pattern of connections among people confers among people and groups of people different properties. It’s the ties between people that make the whole greater than parts.

人们互相联系的模式给予个人或者群体不同的属性。这种人与人之间的连接,使得整体比部分更为强大。

[Our natural sleep cycle]

我们的自然睡眠周期

Should work come before sleep? No. Should entertainment come before sleep? No. Should our relationships come before sleep. No. When sleep is our number one priority, we manage/enjoy all of these things much more. Jesse implied suggestions that humans should follow nature’s rhythms to live as people before.

我们应该把工作摆在比睡觉更重要的地位?不。我们应该把娱乐摆在比睡觉更重要的地位?不。我们应该把人际关系摆在比睡觉更重要的地方?不。当睡觉成为我们的第一优先考虑时,我们能够更好的管理或者享受每件事情。Jesse提出了一个建议,人们 应该像以前的人一样遵循自然的节奏。

 

 

 

 

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SAS resources(SAS资料)

SAS博客列表

http://saslist.com/home

SAS考证解析

http://saslist.net/archives/173

SAS入门

http://saslist.net/archives/200

http://blog.csdn.net/tjyhello/article/details/6331290

SAS程序举例

http://blogs.sas.com/content/iml/

http://saslist.com/sxlion/

http://www.jiangtanghu.com/blog/category/sas/page/2/

SAS论坛

http://forum.epiman.cn/forum-26-1.html

有好的SAS资源,欢迎补充~

 

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Computer Vision Dataset 2

List of Home Datasets

http://boxlab.wikispaces.com/List+of+Home+Datasets

List of CV Datasets

http://www.hitech-projects.com/euprojects/cantata/datasets_cantata/dataset.html

Behave Interactions Test Case Scenarios

http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/

Volumetric Features for Event Detection in Video

http://www.cs.cmu.edu/~yke/video/#Video_of_Detection_Results:

Aerial Action Dataset

http://server.cs.ucf.edu/~vision/aerial/index.html

Multiple cameras fall dataset

http://www.iro.umontreal.ca/~labimage/Dataset/

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[zz] Computer Vision Dataset

Detection

PASCAL VOC 2009 dataset
Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
LabelMe dataset
LabelMe is a web-based image annotation tool that allows researchers to label images and share the annotations with the rest of the community. If you use the database, we only ask that you contribute to it, from time to time, by using the labeling tool.
BioID Face Detection Database
1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manually.
CMU/VASC & PIE Face dataset
Yale Face dataset
Caltech
Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds
Caltech 101
Pictures of objects belonging to 101 categories
Caltech 256
Pictures of objects belonging to 256 categories
Daimler Pedestrian Detection Benchmark
15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. The test set contains more than 21,790 images with 56,492 pedestrian labels (fully visible or partially occluded), captured from a vehicle in urban traffic.
MIT Pedestrian dataset
CVC Pedestrian Datasets
CVC Pedestrian Datasets
CBCL Pedestrian Database
MIT Face dataset
CBCL Face Database
MIT Car dataset
CBCL Car Database
MIT Street dataset
CBCL Street Database
INRIA Person Data Set
A large set of marked up images of standing or walking people
INRIA car dataset
A set of car and non-car images taken in a parking lot nearby INRIA
INRIA horse dataset
A set of horse and non-horse images
H3D Dataset
3D skeletons and segmented regions for 1000 people in images

Classification

PASCAL VOC 2009 dataset
Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
Caltech
Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds
Caltech 101
Pictures of objects belonging to 101 categories
Caltech 256
Pictures of objects belonging to 256 categories
ETHZ Shape Classes
A dataset for testing object class detection algorithms. It contains 255 test images and features five diverse shape-based classes (apple logos, bottles, giraffes, mugs, and swans).
Flower classification data sets
17 Flower Category Dataset
Animals with attributes
A dataset for Attribute Based Classification. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each image.

Recognition

Face and Gesture Recognition Working Group FGnet
Face and Gesture Recognition Working Group FGnet
Feret
Face and Gesture Recognition Working Group FGnet
PUT face
9971 images of 100 people
Labeled Faces in the Wild
A database of face photographs designed for studying the problem of unconstrained face recognition
Urban scene recognition
Traffic Lights Recognition, Lara’s public benchmarks.
UCF50
UCF50 is an action recognition dataset with 50 action categories, consisting of realistic videos taken from YouTube.
PubFig: Public Figures Face Database
The PubFig database is a large, real-world face dataset consisting of 58,797 images of 200 people collected from the internet. Unlike most other existing face datasets, these images are taken in completely uncontrolled situations with non-cooperative subjects.
YouTube Faces
The data set contains 3,425 videos of 1,595 different people. The shortest clip duration is 48 frames, the longest clip is 6,070 frames, and the average length of a video clip is 181.3 frames

Tracking

BIWI Walking Pedestrians dataset
Walking pedestrians in busy scenarios from a bird eye view
“Central” Pedestrian Crossing Sequences
Three pedestrian crossing sequences
Pedestrian Mobile Scene Analysis
The set was recorded in Zurich, using a pair of cameras mounted on a mobile platform. It contains 12’298 annotated pedestrians in roughly 2’000 frames.
Head tracking
BMP image sequences.

Segmentation

Image Segmentation with A Bounding Box Prior dataset
Ground truth database of 50 images with: Data, Segmentation, Labelling – Lasso, Labelling – Rectangle
PASCAL VOC 2009 dataset
Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
Motion Segmentation and OBJCUT data
Cows for object segmentation, Five video sequences for motion segmentation
Geometric Context Dataset
Geometric Context Dataset: pixel labels for seven geometric classes for 300 images
Crowd Segmentation Dataset
This dataset contains videos of crowds and other high density moving objects. The videos are collected mainly from the BBC Motion Gallery and Getty Images website. The videos are shared only for the research purposes. Please consult the terms and conditions of use of these videos from the respective websites.
CMU-Cornell iCoseg Dataset
Contains hand-labelled pixel annotations for 38 groups of images, each group containing a common foreground. Approximately 17 images per group, 643 images total.
Segmentation evaluation database
200 gray level images along with ground truth segmentations
The Berkeley Segmentation Dataset and Benchmark
Image segmentation and boundary detection. Grayscale and color segmentations for 300 images, the images are divided into a training set of 200 images, and a test set of 100 images.
Weizmann horses
328 side-view color images of horses that were manually segmented. The images were randomly collected from the WWW.
Saliency-based video segmentation with sequentially updated priors
10 videos as inputs, and segmented image sequences as ground-truth

Foreground/Background

Wallflower Dataset
For evaluating background modelling algorithms
Foreground/Background Microsoft Cambridge Dataset
Foreground/Background segmentation and Stereo dataset from Microsoft Cambridge

Video Surveillance

CAVIAR
For the CAVIAR project a number of video clips were recorded acting out the different scenarios of interest. These include people walking alone, meeting with others, window shopping, entering and exitting shops, fighting and passing out and last, but not least, leaving a package in a public place.
ViSOR
ViSOR contains a large set of multimedia data and the corresponding annotations.

Multiview

3D Photography Dataset
Multiview stereo data sets: a set of images
Multi-view Visual Geometry group’s data set
Dinosaur, Model House, Corridor, Aerial views, Valbonne Church, Raglan Castle, Kapel sequence
Oxford reconstruction data set (building reconstruction)
Oxford colleges
Multi-View Stereo dataset (Vision Middlebury)
Temple, Dino
Multi-View Stereo for Community Photo Collections
Venus de Milo, Duomo in Pisa, Notre Dame de Paris
IS-3D Data
Dataset provided by Center for Machine Perception
CVLab dataset
CVLab dense multi-view stereo image database
3D Objects on Turntable
Objects viewed from 144 calibrated viewpoints under 3 different lighting conditions

Action

UCF Sports Action Dataset
This dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN. The video sequences were obtained from a wide range of stock footage websites including BBC Motion gallery, and GettyImages.
UCF Aerial Action Dataset
This dataset features video sequences that were obtained using a R/C-controlled blimp equipped with an HD camera mounted on a gimbal.The collection represents a diverse pool of actions featured at different heights and aerial viewpoints. Multiple instances of each action were recorded at different flying altitudes which ranged from 400-450 feet and were performed by different actors.
UCF YouTube Action Dataset
It contains 11 action categories collected from YouTube.
Weizmann action recognition
Walk, Run, Jump, Gallop sideways, Bend, One-hand wave, Two-hands wave, Jump in place, Jumping Jack, Skip.

Human pose

ETHZ CALVIN Dataset

Image stitching

IPM Vision Group Image Stitching datasets
Images and parameters for registeration

Medical

VIP Laparoscopic / Endoscopic Dataset
Collection of endoscopic and laparoscopic (mono/stereo) videos and images

Misc

Zurich Buildings Database
ZuBuD Image Database contains over 1005 images about Zurich city building.
FROM: http://www.cvpapers.com/datasets.html
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To my visitors

Welcome!
This website can be divided into 3 parts.
1. research on image processing and recognition
2. self-study on English and data processing
3. living and thinking

欢迎到访!

这个网站的内容主要分为三个部分。

1. 图像处理和识别方面的研究

2.英语和数据处理方面的自学

3. 生活和思考

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