Computer and Human Vision

brasscoffeeAI and Robotics

Nov 17, 2013 (3 years and 8 months ago)

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Introduction to

Computer and Human Vision

Shimon Ullman, Ronen Basri, Michal Irani, Yaron Caspi

Assistants:

Shai Bagon
<shai.bagon@weizmann.ac.il>

Shira Kritchman
<shira.kritchman@weizmann.ac.il>


Misc...



Course website:


www.wisdom.weizmann.ac.il/~bagon/CVFall06



To be added to course mailing
-
list:


Send email to Shai:
<shai.bagon@weizmann.ac.il>



Other recommended courses (for credit):


Basic Topics (I+II), Machine Learning, Information Theory,


Probabilistic Graphical Models.



Vision & Robotics Seminar (not for credit):


Thursdays at 12:00
-
13:00 (Ziskind 1)


Send email <leah.mory@weizmann.ac.il>


ask to be added to “seminar13” mailing list

Applications:

-

Manufacturing and inspection; QA

-

Robot navigation

-

Autonomous vehicles

-

Guiding tools for blind

-

Security and monitoring

-

Object/face recognition; OCR.

-

Medical Applications

-

Visualization; NVS

-

Visual communication

-

Digital libraries and video search

-

Video manipulation and editing



How is an image formed?


(geometry and photometry)




How is an image represented?




What kind of operations


can we apply to images?




What do images tell us


about the world?


(analysis & interpretation)

Lesson 11 (Shimon): Human Vision II

Lessons 2
-
3 (Michal): Basic Image Processing (Fourier, Convolution)

Lessons 4
-
7 (Ronen+Yaron): Stereo, Matching, and Structure from Motion

Tentative Schedule

Lessons 8
-
9 (Michal): Motion and video analysis

Lesson 10 (Ronen): Image Segmentation

Lesson 12 (Ronen): Photometry

Lesson 13 (Shimon): Object recognition



2
-
3 programming exercises (MATLAB)
--

CAN SUBMIT IN
PAIRS




3 theoretical exercises
--

MUST SUBMIT
INDIVIDUALLY



EXAM

Lesson 1 (Shimon): Human Vision I


Homework:

Read introductory material (Basic image operations)

Panoramic Mosaic Image

Original
video
clip

Generated Mosaic image

Original

Outliers

Original

Synthesized

Video Removal

Image Segmentation

Image Segmentation

Photometric Stereo

Photometric Stereo