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Gujarat Technological UniversitySummer 2025 Examination

GTU 3171614 Computer Vision Summer 2025 Paper Solution & PDF

B.E. · IT Engineering · Semester 7 · Subject Code: 3171614
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Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours2:30 PM – 5:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

14 MarksMedium
(a)
Write three applications of computer vision.
3 Marks
(b)
Define the term "radiometry" and explain its importance in computer vision.
4 Marks
(c)

Explain the concept of imaging geometry in computer vision. Discuss the principles of perspective projection.

7 Marks

Question 2

14 MarksMedium
(a)
How does the Fourier transformation play a role in image sharpening?
3 Marks
(b)
Define pixel. List all pixel transformation methods.
4 Marks
(c)

What is histogram? Explain histogram equalization algorithm. Write Matlab code for calculation of histogram and histogram equalization.

7 Marks
OR OPTION
(c)
Implement the various low pass and high pass filtering mechanisms.
7 Marks

Question 3

14 MarksMedium
(a)
Write use of SIFT and HOG in terms of image analysis.
3 Marks
(b)
Explain the watershed algorithm and its application in image segmentation.
4 Marks
(c)
Demonstrate the use of optical flow in any image processing application.
7 Marks
OR OPTION
(a)
Define the terms: Image Digitization, Normalized cut and kernel
3 Marks
(b)
Describe the split and merge algorithm in image segmentation. How does it work?
4 Marks
(c)
Briefly describe snake’s method for active contours.
7 Marks

Question 4

14 MarksMedium
(a)
Explain the concept of optical flow in motion representation and its applications.
3 Marks
(b)

What are intrinsic and extrinsic camera parameters in camera calibration, and how are they determined?

4 Marks
(c)
Explain K-means and Gaussian Mixture Model in detail.
7 Marks
OR OPTION
(a)
What is regularization in motion representation, and why is it important?
3 Marks
(b)
Explain motion parallax effect in computer vision.
4 Marks
(c)
What is noise? List all types of noise and explain any four in detail.
7 Marks

Question 5

14 MarksMedium
(a)
Explain graph based segmentation.
3 Marks
(b)
Define appearance-based methods for object recognition and provide an example.
4 Marks
(c)
Explain optical flow algorithm and its usage.
7 Marks
OR OPTION
(a)
Explain the concept of image Eigen spaces and their use in object recognition.
3 Marks
(b)
Explain shape context descriptor.
4 Marks
(c)

Describe common camera projection models and discuss their strengths and limitations in representing the real world.

7 Marks
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About this Examination Paper & Attribution

Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Computer Vision (Summer 2025, B.E. · IT Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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