Computer'Vision Course'Introduction - - PowerPoint PPT Presentation

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Computer'Vision Course'Introduction - - PowerPoint PPT Presentation

Jan 04, 2023 483 likes •875 views

Computer'Vision Course'Introduction Prof.&Flvio&Cardeal& DECOM&/&CEFET7MG cardeal@decom.cefetmg.br Who$am$I? Academic)Background o D.)Sc.)4 Computer)Science,)UFMG. o M.)Sc.)4 Computer)Science,)UFMG. o BEng.)4

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Course'Introduction

Computer'Vision

Prof.&Flávio&Cardeal&– DECOM&/&CEFET7MG

cardeal@decom.cefetmg.br

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Who$am$I?

  • Academic)Background
  • D.)Sc.)4 Computer)Science,)UFMG.
  • M.)Sc.)4 Computer)Science,)UFMG.
  • BEng.)4 Electrical)Engineering,)TU4Berlin/UFMG.
  • Research)Interests
  • Computer)Vision.
  • Image/Video)Processing.
  • Associate)Professor)
  • Department)of)Computing)4 CEFET4MG.
  • Homepage:)http://cardeal.piim4lab.cefetmg.br.

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Why$EMI$in$this$course?

  • English Medium Instruction (EMI).
  • According to UNESCO, 4.5 million students

study outside their country of citizenship.

  • It is estimated that the number of internationally

mobile students could reach 7 million by 2020.

  • In this context, university managers believe that

their institutions have to internationalize in order to progress in the world rankings.

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Why$EMI$in$this$course?

  • In order to become an international university

the institution has to attract students from other countries.

  • Those

students usually do not speak the language of the host country.

  • Therefore the language of instruction has to be
  • ne that all students will understand and English

has demonstrated to be a good choice.

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Why$EMI$in$this$course?

  • Moreover,

in

  • rder

to internationalize, the institution has to demonstrate that its teaching and research force, its faculty, is multinational.

  • People believe that multinational is synonymous

with better quality than mono=national.

  • Finally, EMI is considered an authentic way to

learn a language, by addressing situations which are encountered in reality.

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Why$EMI$in$this$course?

  • So, the world is experiencing a rapid increase in

the teaching

  • f

subjects through EMI in countries where the first language is not English.

  • In this scenario, by using EMI in our course, I

expect to contribute to include our institution in this growing global phenomenon.

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Course'Description

  • Introduction to basic concepts in Computer

Vision, a research field that develops methods for machines to understand images/videos.

  • We will explore topics that contribute to deal

with problems such as the following ones.

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Course'Description

  • Can we interact with machines in richer ways,

perhaps with gestures or facial expressions?

8 Source:)Leap)Motion)Inc.

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Course'Description

  • How can a self,driving vehicle identify objects

in complex environments?

9 Source:)Google)Inc.

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Course'Description

  • How can a camera in the operating room help

a surgeon plan a procedure more safely?

10 Source:*Gemelli*Hospital*

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Course'Description

  • Given billions of images, how can you find one

that “looks like” some image of interest?

12 Source:*Mad*Magazine

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Prerequisites

  • This course is intended for graduate and

upper)level undergraduate students.

  • Linear algebra, elementary statistics and a

programming language (e.g., Python or C).

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Objectives

  • To understand the concepts, problems, and

solution techniques in computer vision.

  • To apply computer vision to solve problems in

research and industrial applications.

  • To learn the use of image processing and

image understanding software tools.

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Readings

  • Textbook:
  • R. Klette. Concise Computer Vision: An Introduction into

Theory and Algorithms, 1a Edition, Springer, 2014.

  • Textbook Website:

http://ccv.wordpress.fos.auckland.ac.nz/

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Readings

  • About the Textbook:
  • It provides an introduction into basics of Computer

vision and is not a guide on current research.

  • For a web>based introduction into topics in CV:

http://homepages.inf.ed.ac.uk/rbf/CVonline/

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Readings

  • Complementary Books:

R. Szeliski. Computer Vision: Algorithms and Applications, 1a Ed., Springer, 2010.

  • R. Hartley and A. Zisserman. Multiple View Geometry in

Computer Vision, 1a Ed., Cambridge Univ. Press, 2004.

  • D. A. Forsyth and J. Ponce. Computer Vision: A Modern

Approach, 1a Ed., Prentice Hall, 2002.

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Assessment'and'Grading

  • Students will be assessed by using:
  • Problem Sets (Homework Assignments): 60%.
  • Final Project: 40%.
  • There are no exams.

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Assignments

  • The assignments are comprised of problem

sets (PS) and a final project (FP).

  • See the schedule for more details.
  • Assignments are posted online and are due in

class by the end of the specified day of the

  • lecture. All assignments must be handed in.

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Assignments

  • They are designed to give you both theoretical

and practical experience with the material.

  • Parts
  • f

the assignments will involve programming and experimentation.

  • It is allowed to use any coding environment

that is convenient for you.

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Final&Project

  • The final project allow you to explore a topic

covered in class, which you found interesting.

  • The topic for the final project and its scope

should be approved by myself previously.

  • It is comprised of (a) a project proposal, (b) a

class presentation, and (c) a report.

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Final&Project

  • Project Proposal:
  • The proposals should be just a page, and should

describe what you plan to do.

  • In the proposal, lay out the tasks and give a timeline

for when you will do each task.

  • You can work by yourself or in pairs. Projects by pairs

should be correspondingly more substantial.

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Final&Project

  • Project Presentation:
  • It should be clear, informative, and short.
  • You should briefly describe the problem and present

an overview of your approach and results.

  • The time allotted to each presentation is 10 minutes.
  • Send the presentation to cardeal@cefetmg.br by the

due time established.

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Final&Project

  • Project Report:
  • The report should be 5 4 8 pages in SIBGRAPI format.
  • It should be structured like a research paper, with

sections for introduction, related work, the approach, experimental results, conclusions and references.

  • Submit your report to cardeal@decom.cefetmg.br as a

pdf file named YOUR_LAST_NAME.pdf.

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Late%Policy

  • You have up to 5 late days for all assignments

and you can use them at your discretion.

  • Any additional unapproved late submission

will be considered as unsubmitted work.

  • Late submission is not allowed for the final

project’s proposal.

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Collaboration*Policy

  • I allow discussing problem sets with one or

two classmates, but you must submit your

  • wn write7up and list your collaborators.
  • You are allowed to collaborate with one more

student for the final project.

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https://goo.gl/JT5CRR

Course'Schedule

  • See the schedule for more details in:

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What%is%Computer%Vision?

  • It studies how to reconstruct and understand a

3D scene from its 2D images, considering the features of structures present in the scene.

  • What kind of features?

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What%kind%of%features?

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  • Geometric Features

. Points, curves, surfaces and volumes, allowing to estimate, for example, shapes and positions of objects.

  • Dynamic Features

. For example: velocity and acceleration.

p v s

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Semantic)Gap

  • One important goal of Computer Vision is to

bridge the gap between pixels and “meaning”.

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What'we'see What'a'computer'sees

Source:'S.'Narasimhan

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Why$is$it$so$hard?

  • What is in this image?
  • A hand holding a man?
  • A hand holding a mirrored sphere?
  • An Escher drawing?
  • Interpretations are ambiguous
  • The forward problem (graphics) is well-posed.
  • The “inverse problem” (vision) is not.

31 Source:*J.*Britton

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What%is%it%related%to?

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Robotics Image/ Processing Speech/ Processing Information/ Retrieval Computer/ Graphics Neuroscience Cognitive/ Sciences Machine/ Learning Computer/ Vision

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What%is%it%related%to?

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3D#World# Images

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  • Diagram(illustrating(the(work(scopes(of(Computer(Vision,(

Computer(Graphics(and(Image(Processing. Image Processing Computer#Vision Computer#Graphics

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Main%Components

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Cameras + Computational Platform + Software

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Computer)X)Human)Vision

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Image((or(video) Sensing(Device Interpreting(Device Interpretations people,(line, grass,(tree,( buildings,( spring,(etc.

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No Yes

Debate&Moment

  • Should

Computer Vision follow from

  • ur

understanding of Human Vision?

8 Human9vision9“works”,9and9copying9is9easier9than9creatingA 8 In9trying9to9mimic9human9vision,9we9learn9about9it. 8 There9are9several9different9biological vision systemsA 8 There9are9several9sensing9mechanismsA 8 Synthetic9vision9systems9may9use9different9techniques9that999 are9more9appropriate9to9computational mechanisms.

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Why$study$Computer$Vision?

  • Images and videos are everywhere.
  • Fast4growing collection of useful applications.
  • Several attractive scientific mysteries:
  • For instance: how does object recognition work?
  • Greater understanding of human vision.

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Next%Lecture

  • Images in the Spatial Domain

Pixels and Windows. Image Values and Basic Statistics. Spatial and Temporal Data Measures. Step>Edges.

  • Suggested reading

Section 1.1 of textbook.

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