CIS 350 Principles and Applications Of Computer Vision Dr. Rolf Lakaemper.

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Presentation transcript:

CIS 350 Principles and Applications Of Computer Vision Dr. Rolf Lakaemper

May I introduce myself… Rolf Lakaemper PhD (Doctorate Degree) 2000 Hamburg University, Germany Since 1/2003 Assist. Professor at Department of Computer and Information Sciences, Temple University Main Research Area: Computer Vision

Computer Vision ?

“Computer vision’s great trick is extracting descriptions of the world from pictures or sequences of pictures” (Forsyth/Ponce: Computer Vision)

Pictures/Movies: How to Represent Process / Prepare Handle Recognize Objects

Representation Digital Images Color Spaces Gray Images Binary Images Geometrical Properties

Representation Digital Images Color Spaces Gray Images Binary Images Geometrical Properties

How to process / prepare: Filters Edges Geometric Primitives Lines, Circles

Low Level Object Handling: Image / Video Compression Huffman JPEG MPEG …

Low Level Object Handling: Object representation

Low Level Object Handling: Segmentation

Object Recognition: Color, Texture, Shape

Object Recognition: Applications Character recognition Face Recognition Shape Recognition (Image Databases)

Central Distance Fourier (MATLAB DEMO)

3D Distance Histogram (MATLAB DEMO)

ISS – An Image-Database using the ASR – Algorithm Dr. Rolf Lakaemper

The Interface (JAVA – Applet)

The Sketchpad: Query by Shape

The First Guess: Different Shape - Classes

Selected shape defines query by shape – class

Result

Specification of different shape in shape – class

Result

Let's go for another shape...

...first guess...

...and final result

Query by Shape, Texture and Keyword

Result

CIS 350 Schedule: We: Introduction to topic Fr: LAB Mo: Discussion

CIS 350 Schedule: We: Introduction to topic Fr: LAB Mo: Discussion

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