Introduction to Computer Vision - Lecture 1

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.

Computer Vision
Image Formats
Hole
Orthographic Projection
Depth Map
Shape from Shading
Lambertian Model
Vase
Shape from Texture
Photosynth
Video Clip & Mosaic
Human Detection
Airplanes
Motor Cycles
Face Recognition
FACIAL EXPRESSIONS
Lipreading
LUAV: Unmanned Aerial Vehicle
High Density Crowded Scenes
Tracking in Crowds
New York Times, August 19,2012