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Name
Reg No
A
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
07 THRISSUR CLUSTER
THIRD SEMESTER M.TECH. DEGREE EXAMINATION DEC 2017
Computer Science Engineering
Computer Science Engineering
07CS 7105 COMPUTER VISION
Time 3 hours Max.Marks: 60
Answer all six questions. Part of each question is compulsory.
Answer either part or part of each question
Q.no. Module 1 Marks
1a Compare and contrast LZW coding and Arithmetic coding. 4
Answer b or c
b Usually, image processing industry needs immense clarity in images and
minimum noise. Suggest a technique for filtering, which operates in the
frequency domain that also enhances the edges.
5
c Salt and pepper noise causes corruption in digital images. Specify and explain
a suitable filter in spatial domain that efficiently removes salt and pepper noise.
5
Q.no. Module 2 Marks
2a
Compare Robertz and Prewitt Edge detection operators.
4
Answer b or c
b Discuss the object recognition system using SURF. 5
c How can lines be detected using Hough transform? Explain. 5
Q.no. Module 3 Marks
3a Brief about image warping and compositing. 4
Answer b or c
b Design a face recognition system using Support Vector Machine. 5
c Explain in detail about any two object recognition methods. 5
Q.no. Module 4 Marks
4a Write short note on shape from shading technique. 4
Answer b or c
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b Explain the fundamental matrix for the geometry of two cameras. 5
c Describe the method used in computer vision to characterize and quantify the
motion of objects in a video stream.
5
Q.no. Module 5 Marks
5a Describe about the method of Instance Recognition from Local Features. 5
Answer b or c
b Elaborate the method of Scene recognition with bag of words representation. 7
c Explain in detail about Energy minimisation segmentation. 7
Q.no. Module 6 Marks
6a Explain the method which makes use of statistical techniques for analysing
data measurements in order to extract information and make justified
decisions.
5
Answer b or c
b Compare and contrast Appearance based Recognition and Model based
Recognition methods
7
c Write an algorithm to determine whether there are any faces in the given
image and, if present or not. Discuss each step in that algorithm
7