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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
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
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
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
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
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