Sathyabama Institute of Science and Technology B.Tech IT SCSA3007 Introduction to Visual Computing Syllabus

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Sathyabama Institute of Science and Technology B.Tech IT SCSA3007 Introduction to Visual Computing Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF COMPUTING

SCSA3007 INTRODUCTION TO VISUAL COMPUTING
L T P Credits Total Marks
3 0 0 3 100

UNIT 1 VISUAL COMPUTING INTRODUCTION 9 Hrs.
Physiological Foundations-Representation of Light and Color-Image and Noise Models- Basics of Fourier series, Sampling
Theorem-Vector Quantization- k-Means Clustering- Mixture Models- Gray Level and Color Quantization-Relationships
between Pixels- Camera Geometry- 2D and 3DTransforms, Projections.

UNIT 2 DIGITAL IMAGE PROCESSING 9 Hrs.
Digital Image Filtering-Image Transforms-Image Enhancement and Restoration, Wiener Filters, Nonlinear Image Processing
(Median filtering)-Nonlinear Diffusion, Gauss-Laplace Pyramid, Wavelets-Scale Space, (Image and Video Compression
Image Segmentation-Optical Flow-Stereo Vision-Template Matching, Point Matching.

UNIT 3 DIGITAL IMAGE GENERATION 9 Hrs.
The Graphics Pipeline- Lighting and Reflection Models- Shading-Texture Analysis and Texture Mapping-Aliasing- Global
Illumination-Radiosity-Ray Tracing-Graphics Systems- APIs-3D Graphics Hardware.

UNIT 4 REPRESENTATION OF GEOMETRY 9 Hrs.
Parametric Curves-Bézier Curves-B-Splines-NURBS- Tensor Product Surfaces, Triangle Meshes-Subdivision Methods-
Shape Models, linear (Gaussian) Diffusion.

UNIT 5 LEARNING METHODS IN VISION 9 Hrs.
Classifier Learning-Support Vector Machines-Radial Basis Function Networks-Dimension Reduction: PCA, ICA- Linear
Discriminant Analysis-Graphical Models- Markov Random Fields-Maximum Entropy Inference and Bayesian Image Analysis
Max. 45 Hrs.

COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - Acquaint students with core knowledge in visual information processing and learning.
CO2 - Implement Digital Image Processing Mechanisms.
CO3 - Analyze and design Digital Image Generation Mechanisms.
CO4 - Representation of geometry and subdivision methods.
CO5 - Describe the Learning Methods in Vision.
CO6 - Comprehend the concepts related three dimensional object representations.

TEXT / REFERENCE BOOKS
1. Donald D Hearn, M. Pauline Baker, Computer Graphics C version, Pearson Education.
2. Dave Shreiner, Mason Woo, Jackie Neider, Tom Davis, OpenGL Programming Guide: The Official Guide to Learning
OpenGL, (2013).
3. James D. Foley, Andries van Dam, Steven K. Feiner, John F. Hughes, Computer Graphics: Principles & Practice in C,
Addison Wesley Longman.
4. Zhigang Xiang, Roy A Plastock, Computer Graphics, Schaums Outline, TMH.

END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks: 100 Exam Duration:3 Hrs.
PART A: 10 Question of 2 marks each – No choice 20 Marks
PART B: 2 Questions from each unit of internal choice, each carrying 16 marks 80 Marks