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CS484: Introduction to Computer Vision
Fall 2018
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Instructor |
Min H. Kim, [Room] 3429, [email] |
Course Description
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This course provides a comprehensive introduction to computer vision, including the foundations of camera image formation, geometric optics, feature detection, stereo matching, motion estimation, image recognition, scene understanding, etc. This course will help students develop intuitions and mathematics of various computer vision applications.
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Time and Place |
Monday and Wednesday 1:00PM—2:30PM, Rm. 111, Bldg. N-1 |
Teaching Assistants |
Suk Jun Jeon, [e-mail]
Hyunho Ha, [e-mail]
Hyeonjoong Jang, [e-mail]
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Main Textbook |
Richard Szeliski (2010) Computer Vision: Algorithms and Applications, Springer [site] |
Prerequisites |
There are no official course prerequisites. |
Course Goal |
Student will establish theoretical and practical foundations of computer vision and be familiar with various computer vision applications. |
Tentative Schedule |
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Week |
Date |
Lecture |
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Slides |
Assignments |
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1 |
08/27 |
Introduction to computer vision |
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08/29 |
Image formation (1) |
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2 |
09/03 |
Image formation (2) |
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09/05 |
Color (1) |
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3 |
09/10 |
Color (2) |
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09/12 |
Image enchancement |
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4 |
09/17 |
Signal processing |
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09/19 |
Spatial filters (1) |
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5 |
09/24 |
Mid-Authumn Festival Days |
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6 |
10/01 |
Spatial filters (2) |
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10/03 |
Feature detection (1) |
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7 |
10/8 |
Feature detection (2) |
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10/10 |
Morphological image operations (1) |
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8 |
10/15 |
Mid-term exam (TBA) |
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9 |
10/22 |
Morphological image operations (2) |
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10/24 |
Frequency domain processing (1) |
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10 |
10/29 |
Frequency domain processing (2) |
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10/31 |
Noise reduction |
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11 |
11/05 |
Image restoration |
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11/07 |
Image transformation (1) |
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12 |
11/12 |
Image transformation (2) |
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11/14 |
Multi-resolution processing |
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13 |
11/19 |
3D stereo imaging (1) |
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11/21 |
3D stereo imaging (2) |
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14 |
11/26 |
3D surface reconstruction |
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11/28 |
Supervised learning-based recognition |
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15 |
12/03 |
Representation-based image reconstruction |
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12/05 |
No lecture (SIGGRAPH Asia 2018) |
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16 |
12/10 |
Final exam (TBA) |
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Hosted by Visual Computing Laboratory, School of Computing, KAIST.
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