computer vision
See how computer sees and recognise things through the camera - or what it produces: still image. It'll be a theory class, but you can carry your laptop to practise what you get. You'd better have good knowledge for algorithm to take this class. Final project is making a simple program applying one or more of the theories. I'll be using Delphi for demonstrations.
announcements
Rabu, 5 September 2012
Setiap kelompok harap mengumpulkan daftar anggota kelompoknya dengan segera. Topik tugas final harap dikonsultasikan dengan saya terlebih dahulu. Terima kasih.
Setiap kelompok harap mengumpulkan daftar anggota kelompoknya dengan segera. Topik tugas final harap dikonsultasikan dengan saya terlebih dahulu. Terima kasih.
rules and adds
General Rules
Presensi tidak dihitung dalam nilai
Kehadiran minimum 75% untuk dapat mengikuti TAS
Bekerja sama dalam ujian mendapatkan nilai F
Tidak ada ujian susulan maupun extra project
Grades
Standard range grade: A >= 85
Tidak ada nilai D, <55 mendapat nilai E
Scoring components
SISTEM KBK
Kelas A dan B
40 Pre-tests
30 TAS
30 Final Project
5 English Bonus
105 TOTAL
Remidial pada waktu mid semester (opsional)
Presensi tidak dihitung dalam nilai
Kehadiran minimum 75% untuk dapat mengikuti TAS
Bekerja sama dalam ujian mendapatkan nilai F
Tidak ada ujian susulan maupun extra project
Grades
Standard range grade: A >= 85
Tidak ada nilai D, <55 mendapat nilai E
Scoring components
SISTEM KBK
Kelas A dan B
40 Pre-tests
30 TAS
30 Final Project
5 English Bonus
105 TOTAL
Remidial pada waktu mid semester (opsional)
references
Computer Vision: Algorithms & Applications (Richard Szeliski - Springer, 2011)
Computer Vision: A Modern Approach (David A. Forsyth, Jean Ponce - Prentice Hall, 2002)
Algorithms for Image Processing and Computer Vision (J.R. Parker - John Wiley & Sons, 1997)
Digital Image Processing (R.C. Gonzales, R.E. Woods - Prentice Hall, 2009)
Character Recognition Systems: A Guide for Students and Practitioners (Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu and Ching Suen, 2007)
Computer Vision: A Modern Approach (David A. Forsyth, Jean Ponce - Prentice Hall, 2002)
Algorithms for Image Processing and Computer Vision (J.R. Parker - John Wiley & Sons, 1997)
Digital Image Processing (R.C. Gonzales, R.E. Woods - Prentice Hall, 2009)
Character Recognition Systems: A Guide for Students and Practitioners (Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu and Ching Suen, 2007)
downloads
slides gs1314
- 00 - Introduksi & Silabus
- 01 - Introduction to Comvis (JH)
- 02 - Projective Geometry & Camera Models (JH)
- 03 - Lenses & Colour (JH)
- 04 - Image Acquisition
- 04a - Akuisisi Citra (PCD)
- 04b - Histogram
- 04c - Intro to Filtering
- 05 - Feature Extraction
-
archives
- 01 - Vision & Camera
- 03a - Image Preprocessing A
- 03b - Image Preprocessing B
- 03c - Histogram
- 03d - Konvolusi
- 04 - Image Restoration
- 06a - Edge Detection 1
- 06b - Edge Detection 2
- 07a - Segmentation 1
- 07b - Segmentation 2
- 07c - K-Means Clustering
- 07d - tamb. clustering
- 07e - tamb. clustering
- 07f - tamb. clustering
- 08 - Augm. Reality Intro
- 09 - Character Recognition
-
score sheet
- Nilai Grup A
- Nilai Grup B
-
books & files
- Buku Szeliski
- PicMan (blm selesai)
- Pencocokan Citra
- Excel Konvolusi
-
useful links
about this class
Semester and credit
Default: 7th semester - MK Pil
Genap 2011/2012 - 3 SKS
Gasal 2012/2013 - 3 SKS
Gasal 2013/2014 - 3 SKS
Class type
Regular class
Lectures, discussions, active
learning
14 weeks
Class schedule and place
Gasal 2013/2014
- Grup A: Senin 14.30 - D.1.1
- Grup B: Jumat 07.45 - D.3.5
Gasal 2012/2013
- Grup A: Rabu 13.30 - B.3.2
- Grup B: Kamis 07.45 - E.3.5
Genap 2011/2012
- Grup A: Rabu 10.30 - B.3.2
- Grup B: Kamis 07.30 - B.3.2
After-class consulting schedule
Berlaku Sem. Gasal 13/14:
Senin 11.00-13.00
Rabu 10.00-10.30 (by App)
Kamis 13.00-14.30
Jumat 10.00-11.00
Default: 7th semester - MK Pil
Genap 2011/2012 - 3 SKS
Gasal 2012/2013 - 3 SKS
Gasal 2013/2014 - 3 SKS
Class type
Regular class
Lectures, discussions, active
learning
14 weeks
Class schedule and place
Gasal 2013/2014
- Grup A: Senin 14.30 - D.1.1
- Grup B: Jumat 07.45 - D.3.5
Gasal 2012/2013
- Grup A: Rabu 13.30 - B.3.2
- Grup B: Kamis 07.45 - E.3.5
Genap 2011/2012
- Grup A: Rabu 10.30 - B.3.2
- Grup B: Kamis 07.30 - B.3.2
After-class consulting schedule
Berlaku Sem. Gasal 13/14:
Senin 11.00-13.00
Rabu 10.00-10.30 (by App)
Kamis 13.00-14.30
Jumat 10.00-11.00