Page 74 - REC :: All Dept Open Electives

REFERENCES
1.Carlo Vercellis, ―Business Intelligence: Data Mining and Optimization for Decision Making‖, Wiley
Publications, 2009.
2.Cindi Howson, ―Successful Business Intelligence: Secrets to Making BI a Killer App‖, McGraw-Hill,
2007.
3. Efraim Turban, Ramesh Sharda, Dursun Delen, ―Decision Support and Business Intelligence
Systems‖, 9th Edition, Pearson 2013.
4. Larissa T. Moss, S. Atre, ―Business Intelligence Roadmap: The Complete Project Lifecycle of
Decision Making‖, Addison Wesley, 2003.
5.David Loshin Morgan, Kaufman, ―Business Intelligence: The Savvy Manager‟s Guide‖, Second
Edition, 2012.
6.Ralph Kimball , Margy Ross , Warren Thornthwaite, Joy Mundy, Bob Becker, ―The Data Warehouse
Lifecycle Toolkit‖, Wiley Publication Inc.,2007.

OIT1704 COMPUTER VISION L T P C
3 0 0 3

OBJECTIVES:

 To review image processing techniques for computer vision
 To understand vision fundamentals and image processing fundamentals
 To understand shape and region analysis
 To understand Hough Transform and its applications to detect lines, circles, ellipses
 To understand motion analysis
 To study some applications of computer vision algorithms

UNIT I FUNDAMENTALS OF VISION AND IMAGE PROCESSING 9
Image Formation and Representation, Intensity and Range Images – Thresholding techniques – edge
detection techniques – corner and interest point detection – Light and colour – Image Noise – Image
Filtering (spatial domain) - Mask-based filtering - Image Smoothing and Sharpening.
(Ref. Book 2: Chapter 2 & Ref. Book 4 Chapter 1-2)

UNIT II IMAGE FEATURES 9
Image Features – Point and Line Detection – Hough Transform – Edge Detection – Corner Detection –
Harris Detector – Textures - Deformable Contours – Features Reduction –Principal Component analysis
– Feature Descriptors – SIFT and SURF. (Ref. Book 3: Chapter 2-4 & Ref. Book 4 Chapter 1-2)

UNIT III SHAPES AND REGIONS 9
Binary shape analysis – connectedness – object labeling and counting – size filtering – distance
functions – skeletons and thinning – deformable shape analysis – boundary tracking procedures – active
contours – shape models and shape recognition – centroidal profiles – handling occlusion – boundary
length measures – boundary descriptors – chain codes – Fourier descriptors – region descriptors –
moments (Ref. Book 4: Chapter 2)

UNIT IV CAMERA CALIBRATION AND STEREO GEOMETRY 9
Camera models – Camera parameters– Intrinsic and Extrinsic parameters – Direct Parameter
Calibration –Extraction from Projection matrix, Stereopsis – Correspondence Problem –RANSAC and
Alignment - Epipolar Geometry (Ref. Book 4: Chapter 1 & Ref. Book 1 Chapter 1-2)

Curriculum and Syllabus | Open Electives | R 2017 | REC Page 74