分享自己整理的图像处理、模式识别资料

    很长时间没有更新博客了，一则因为要准备毕业论文，二则因为没有心情。下面是前端时间搜集整理的一些和计算机视觉、模式识别的资源，拿出来与大家分享下。以后，我将把图像处理真正的作为我的兴趣来玩玩了，也许不把研究作为谋生的手段，会更好些。

 

标题

作者

主题

关键字

类别

来源

备注

nipsfast.ppt

Nado de Freitas

N-Body problems in learning

Fast N-Body Learning

Ppt

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

nipsfgtf.ppt

Ramani Duraiswami

Fast Multipole Methods Fast Gaussian Transform

FM and FGT

ppt

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

Gray.pdf/ppt

Alex Gray

Statistical N-Body/Proximity Data Structures

N-Body and Data Structures

Ppt/pdf

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

dt-nips04.pdf/ppt

Dan Huttenlocher

Fast Distance Transforms

FDT

Ppt/pdf

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

High.pdf/ppt

Alexander Gray

Fast high-dimensional function integration

Fast integration

Ppt/pdf

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

Fast04.pdf/ppt

David Lowe

Fast high-dimensional feature indexing for object recognition

Feature indexing

Ppt/pdf

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

ihler-fast.pdf/ppt

Alexander lhler

Fast methods and non-parametric BP

Non-parametric BP

Ppt/pdf

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

fastview.pdf

Dustin Lang

Comparing fast methods

Overview fast methods

pdf

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

nbody_methods.tar.gz

 

 

 

code

http://www.cs.ubc.ca/~awll/nbody_methods.html

 

demo_rbpf_gauss.tar

 

Rao Blackwellised particle filtering for conditionally Gaussian Models

particle filtering for conditionally

code

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

demorbpfdbn.tar.gz

 

Rao Blackwellised Particle Filtering

 

code

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

http://www.cs.ubc.ca/~nando/software.html

 

upf_demos.tar.gz

 

Unscented Particle Filter

Particle Filter

code

http://www.cs.ubc.ca/~nando/nipsfast/schedule.html

 

BPF_1_3.zip

 

Boosted Particle Filter

Tracking

code

http://www.cs.ubc.ca/~okumak/research.html

1

flyer_14_800.mpg

 

Source image

Database

Image

http://www.cs.ubc.ca/~okumak/research.html

1

trans_flyer_14_800.mpg

 

image transformed

Database

Image

http://www.cs.ubc.ca/~okumak/research.html

1

LBP.c/h

Topi Mäenpää

LBP operator

Texture

code

http://www.ee.oulu.fi/~topiolli/cpplibs/files/

 

calibr_v30.zip

 

Camera Calibration

Computer vision

code

http://www.ee.oulu.fi/mvg/page/camera_calibration

_toolbox_for_matlab

2

 

LEAR(Learning and Recognition in Vision

Common dataset

Human/car horse soccer human actions

dataset

http://lear.inrialpes.fr/data

3

Lic.zip/highlight.zip

Robby T. Tan

Color Constancy Through Inverse Intensity Chromaticity Space

Highlight Removal from single image

code

http://www.commsp.ee.ic.ac.uk/~rtan/

 

2008_oxford_fog.pdf

Robby T. Tan

Defog

Defog from single

pdf

http://www.commsp.ee.ic.ac.uk/~rtan/

 

08_cvpr.pdf

Robby T. Tan

Defog

Defog from single

pdf

http://www.commsp.ee.ic.ac.uk/~rtan/

 

Retinex_frankle_mccann

 

Retinex

 

Code

http://www.cs.sfu.ca/~colour/publications/IST-2000/

Some

Retinex_maccann99

 

Retinex

 

code

http://www.cs.sfu.ca/~colour/publications/IST-2000/

pictures

Gamut.tar.bz2

 

Retinex

 

code

http://kobus.ca/research/programs/colour_constancy/index.html

 

Video.avi/dehaze.m

 

dehazing

Raanan Fattal

code

http://www.cs.huji.ac.il/~raananf/projects/defog/index.html

 

MPTK-Windows-bin-0-5-6-beta.zip

Matching pursuit(MP)

Alogrithm

       CNRS

Code

http://mptk.irisa.fr/downloads

 

generateDictionaries.txt

GenerateGabor

Alogrithm

 

code

http://www.scholarpedia.org/article/Matching_pursuit

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Notes:

1.      视频和源码都是对应的文章的：

Kenji Okuma, Ali Taleghani, Nando De Freitas, Jim Little, David G. Lowe. Boosted Particle Filter: Multitarget Detection and Tracking. the European Conference on Computer Vision(ECCV), May 2004.

2.      该网站下面还有其他一些资源可以下载：

http://www.ee.oulu.fi/mvg/page/downloads

是个研究组织：http://lear.inrialpes.fr/ ， 除此之外，还有一些源码。