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1
Computer Vision
2
Image Formats
3
Hole
4
Orthographic Projection
5
Depth Map
6
Shape from Shading
7
Lambertian Model
8
Vase
9
Shape from Texture
10
Photosynth
11
Video Clip & Mosaic
12
Human Detection
13
Airplanes
14
Motor Cycles
15
Face Recognition
16
FACIAL EXPRESSIONS
17
Lipreading
18
LUAV: Unmanned Aerial Vehicle
19
High Density Crowded Scenes
20
Tracking in Crowds
21
New York Times, August 19,2012
Description:
Explore the fundamentals of computer vision in this comprehensive 54-minute lecture by Dr. Mubarak Shah from the University of Central Florida. Delve into key concepts such as image formats, orthographic projection, depth mapping, and shape from shading. Learn about the Lambertian model, shape from texture, and photosynthesis. Discover practical applications including human detection, face recognition, facial expression analysis, and lipreading. Examine cutting-edge topics like unmanned aerial vehicles (UAVs) and tracking in high-density crowded scenes. Gain insights into the latest developments in the field, as referenced in the New York Times. Access the accompanying presentation for visual aids and additional information to enhance your understanding of this rapidly evolving discipline.

Introduction to Computer Vision - Lecture 1

University of Central Florida
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