Computer and Robot Vision II

Chapter 0

Presented by 傅楸善 amp 顏慕帆 0933 373 485

r94922113ntuedutw指導教授 傅楸善 博士

DC amp CV LabDC amp CV LabNTU CSIE

Course Number 922 U1200 Credits 3 Time Tuesday 6 7 8 (220PM~520PM) Classroom New CSIE Classroom 107 Classification Elective for junior senior and graduate students Prerequisite Computer Vision (I) or Digital Image Processing Instructor Chiou-Shann Fuh Office New Computer Science and Information Engineering 327 Phone 23625336 ext327 23630231 ext 3232 ext 327 Office Hours Tuesday 11AM~12 noon Objective To learn computer and robot vision through extensive course projects

DC amp CV LabDC amp CV LabNTU CSIE

Textbook R M Haralick and L G Shapiro Computer and Robot Vision Vol II

Addison Wesley Reading MA 1993 Reference B K P Horn Robot Vision MIT Press Cambridge MA 1986 Reference

R Jain R Kasturi and B G Schunck Machine Vision McGraw-Hill New York 1995

Projects assigned weekly on first few weeks (20) and a term pr

oject (30)1048576

Examinations one midterm (20) and one final (30)

DC amp CV LabDC amp CV LabNTU CSIE

This is the second semester of a fast pace course which covers robot and computer vision

The first semester covers low-level vision and mostly no reference to three dimensions

This semester covers higher-level techniques

Content

DC amp CV LabDC amp CV LabNTU CSIE

12 Illumination13 Perspective Projective Geometry14 Analytic Photogrammetry15 Motion and Surface Structure from Time Varying I

mage Sequences16 Image Matching17 The Consistent-Labeling Problem18 Object Models and Matching19 Knowledge-Based Vision20 Accuracy21 Glossary of Computer Vision Terms

DC amp CV LabDC amp CV LabNTU CSIE

Bibliography

D H Ballard and C M Brown Computer Vision Prentice-Hall Englewood Cliffs NJ 1982 G A Baxes Digital Image Processing Wiley New York1984 K Castleman Digital Image Processing Prentice-Hall Englewood Cliffs NJ 1996 E R Davies Machine Vision Theory Algorithms Practicalities2ndEd Academic Press

San Diego CA 1997 RCGonzalez and RE Woods Digital Image Processing Addison Wesley Reading MA

1992 EGose RJohnsonbaugh and S Jost Pattern Recognition and Image Analysis Prentice-

Hall Englewood Cliffs NJ 1996 AK Jain Fundamentals of Digital Image Processing Prentice-Hall Englewood Cliffs NJ

1990 JSLim Two-Dimensional Signal and Image Processing Prentice-Hall Englewood Cliffs

NJ 1990 D Marr Vision WHFreeman San Francisco1982 V S Nalwa A Guided Tour of Computer Vision Addison Wesley Reading MA 1993 W K Pratt Digital Image Processing 2nd ed Wiley-Interscience New York 1991 R J Schalkoff Digital Image Processing and Computer Vision An Interduction to Theory

and Implementations Wiley New York 1989 R J Schalkoff Pattern Recognition Statistical Structural and Neural Approaches Wiley

New York 1992

• Slide 1
• Slide 2
• Slide 3
• Slide 4
• Slide 5
• Slide 6

DC amp CV LabDC amp CV LabNTU CSIE

Textbook R M Haralick and L G Shapiro Computer and Robot Vision Vol II

Addison Wesley Reading MA 1993 Reference B K P Horn Robot Vision MIT Press Cambridge MA 1986 Reference

R Jain R Kasturi and B G Schunck Machine Vision McGraw-Hill New York 1995

Projects assigned weekly on first few weeks (20) and a term pr

oject (30)1048576

Examinations one midterm (20) and one final (30)

DC amp CV LabDC amp CV LabNTU CSIE

This is the second semester of a fast pace course which covers robot and computer vision

The first semester covers low-level vision and mostly no reference to three dimensions

This semester covers higher-level techniques

Content

DC amp CV LabDC amp CV LabNTU CSIE

12 Illumination13 Perspective Projective Geometry14 Analytic Photogrammetry15 Motion and Surface Structure from Time Varying I

mage Sequences16 Image Matching17 The Consistent-Labeling Problem18 Object Models and Matching19 Knowledge-Based Vision20 Accuracy21 Glossary of Computer Vision Terms

DC amp CV LabDC amp CV LabNTU CSIE

Bibliography

D H Ballard and C M Brown Computer Vision Prentice-Hall Englewood Cliffs NJ 1982 G A Baxes Digital Image Processing Wiley New York1984 K Castleman Digital Image Processing Prentice-Hall Englewood Cliffs NJ 1996 E R Davies Machine Vision Theory Algorithms Practicalities2ndEd Academic Press

San Diego CA 1997 RCGonzalez and RE Woods Digital Image Processing Addison Wesley Reading MA

1992 EGose RJohnsonbaugh and S Jost Pattern Recognition and Image Analysis Prentice-

Hall Englewood Cliffs NJ 1996 AK Jain Fundamentals of Digital Image Processing Prentice-Hall Englewood Cliffs NJ

1990 JSLim Two-Dimensional Signal and Image Processing Prentice-Hall Englewood Cliffs

NJ 1990 D Marr Vision WHFreeman San Francisco1982 V S Nalwa A Guided Tour of Computer Vision Addison Wesley Reading MA 1993 W K Pratt Digital Image Processing 2nd ed Wiley-Interscience New York 1991 R J Schalkoff Digital Image Processing and Computer Vision An Interduction to Theory

and Implementations Wiley New York 1989 R J Schalkoff Pattern Recognition Statistical Structural and Neural Approaches Wiley

New York 1992

• Slide 1
• Slide 2
• Slide 3
• Slide 4
• Slide 5
• Slide 6

DC amp CV LabDC amp CV LabNTU CSIE

This is the second semester of a fast pace course which covers robot and computer vision

The first semester covers low-level vision and mostly no reference to three dimensions

This semester covers higher-level techniques

Content

DC amp CV LabDC amp CV LabNTU CSIE

12 Illumination13 Perspective Projective Geometry14 Analytic Photogrammetry15 Motion and Surface Structure from Time Varying I

mage Sequences16 Image Matching17 The Consistent-Labeling Problem18 Object Models and Matching19 Knowledge-Based Vision20 Accuracy21 Glossary of Computer Vision Terms

DC amp CV LabDC amp CV LabNTU CSIE

Bibliography

D H Ballard and C M Brown Computer Vision Prentice-Hall Englewood Cliffs NJ 1982 G A Baxes Digital Image Processing Wiley New York1984 K Castleman Digital Image Processing Prentice-Hall Englewood Cliffs NJ 1996 E R Davies Machine Vision Theory Algorithms Practicalities2ndEd Academic Press

San Diego CA 1997 RCGonzalez and RE Woods Digital Image Processing Addison Wesley Reading MA

1992 EGose RJohnsonbaugh and S Jost Pattern Recognition and Image Analysis Prentice-

Hall Englewood Cliffs NJ 1996 AK Jain Fundamentals of Digital Image Processing Prentice-Hall Englewood Cliffs NJ

1990 JSLim Two-Dimensional Signal and Image Processing Prentice-Hall Englewood Cliffs

NJ 1990 D Marr Vision WHFreeman San Francisco1982 V S Nalwa A Guided Tour of Computer Vision Addison Wesley Reading MA 1993 W K Pratt Digital Image Processing 2nd ed Wiley-Interscience New York 1991 R J Schalkoff Digital Image Processing and Computer Vision An Interduction to Theory

and Implementations Wiley New York 1989 R J Schalkoff Pattern Recognition Statistical Structural and Neural Approaches Wiley

New York 1992

• Slide 1
• Slide 2
• Slide 3
• Slide 4
• Slide 5
• Slide 6

DC amp CV LabDC amp CV LabNTU CSIE

12 Illumination13 Perspective Projective Geometry14 Analytic Photogrammetry15 Motion and Surface Structure from Time Varying I

mage Sequences16 Image Matching17 The Consistent-Labeling Problem18 Object Models and Matching19 Knowledge-Based Vision20 Accuracy21 Glossary of Computer Vision Terms

DC amp CV LabDC amp CV LabNTU CSIE

Bibliography

D H Ballard and C M Brown Computer Vision Prentice-Hall Englewood Cliffs NJ 1982 G A Baxes Digital Image Processing Wiley New York1984 K Castleman Digital Image Processing Prentice-Hall Englewood Cliffs NJ 1996 E R Davies Machine Vision Theory Algorithms Practicalities2ndEd Academic Press

San Diego CA 1997 RCGonzalez and RE Woods Digital Image Processing Addison Wesley Reading MA

1992 EGose RJohnsonbaugh and S Jost Pattern Recognition and Image Analysis Prentice-

Hall Englewood Cliffs NJ 1996 AK Jain Fundamentals of Digital Image Processing Prentice-Hall Englewood Cliffs NJ

1990 JSLim Two-Dimensional Signal and Image Processing Prentice-Hall Englewood Cliffs

NJ 1990 D Marr Vision WHFreeman San Francisco1982 V S Nalwa A Guided Tour of Computer Vision Addison Wesley Reading MA 1993 W K Pratt Digital Image Processing 2nd ed Wiley-Interscience New York 1991 R J Schalkoff Digital Image Processing and Computer Vision An Interduction to Theory

and Implementations Wiley New York 1989 R J Schalkoff Pattern Recognition Statistical Structural and Neural Approaches Wiley

New York 1992

• Slide 1
• Slide 2
• Slide 3
• Slide 4
• Slide 5
• Slide 6

DC amp CV LabDC amp CV LabNTU CSIE

Bibliography

D H Ballard and C M Brown Computer Vision Prentice-Hall Englewood Cliffs NJ 1982 G A Baxes Digital Image Processing Wiley New York1984 K Castleman Digital Image Processing Prentice-Hall Englewood Cliffs NJ 1996 E R Davies Machine Vision Theory Algorithms Practicalities2ndEd Academic Press

San Diego CA 1997 RCGonzalez and RE Woods Digital Image Processing Addison Wesley Reading MA

1992 EGose RJohnsonbaugh and S Jost Pattern Recognition and Image Analysis Prentice-

Hall Englewood Cliffs NJ 1996 AK Jain Fundamentals of Digital Image Processing Prentice-Hall Englewood Cliffs NJ

1990 JSLim Two-Dimensional Signal and Image Processing Prentice-Hall Englewood Cliffs

NJ 1990 D Marr Vision WHFreeman San Francisco1982 V S Nalwa A Guided Tour of Computer Vision Addison Wesley Reading MA 1993 W K Pratt Digital Image Processing 2nd ed Wiley-Interscience New York 1991 R J Schalkoff Digital Image Processing and Computer Vision An Interduction to Theory

and Implementations Wiley New York 1989 R J Schalkoff Pattern Recognition Statistical Structural and Neural Approaches Wiley

New York 1992

• Slide 1
• Slide 2
• Slide 3
• Slide 4
• Slide 5
• Slide 6