BCIT053 Computer Vision Syllabus
AKTU B.Tech · 3rd Year · Unit-wise syllabus (effective 2024-25)
BCIT053 Computer Vision (also written as KCIT053) is a subject in the 3rd year of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. It carries 3 credits with an L-T-P of 3-0-0. The syllabus is divided into 5 units: Image Processing Fundamentals, Shapes and Regions, Hough Transform, Vision and Motion, Applications and Surveillance and In vehicle vision system. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BCIT053 Subject Details
| Subject Code | BCIT053 / KCIT053 |
|---|---|
| Subject Name | Computer Vision |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year |
| Credits | 3 |
| L-T-P | 3-0-0 |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-19 |
BCIT053 Computer Vision Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: Image Processing Fundamentals
1. Image Processing Fundamentals: Review of image processing techniques, Classical filtering operations, Thresholding Techniques, Edge detection techniques, Corner and interest point detection, Mathematical Morphology, Texture.
Unit 2: Shapes and Regions
1. Shapes and Regions: Binary shape analysis, connectedness, object labeling and counting, size filtering, distance functions, Skeletons and thinning, deformable shape analysis, Boundary tracking procedure, active contours, Shape model and shape recognition, centroidal profiles, handling occlusion, boundary length measure, boundary descriptors, chain codes, Fourier descriptors, region descriptors.
Unit 3: Hough Transform
1. Hough Transform: Line detection, Hough Transform (HT) for line detection, foot of normal method, line localization, line fitting, RANSAC for straight line detection, HT based circular object detection, accurate center location, speed problem, ellipse detection, Case Studies: Human Iris location, hole detection, generalized Hough Transformation (GHT), Spatial matched filtering, GHT for ellipse detection, object location, GHT for feature collation.
Unit 4: Vision and Motion
Vision and Motion: Methods for 3D vision, projection schemes, shape from shading, Photometric stereo, shape from texture, shape from focus, active range finding, surface representation, point-based representation, Volumetric representation, 3D object recognition, 3D reconstruction. Introduction to motion, triangulation, bundle adjustment, translational alignment, parametric motion, Spline-based motion, optional flow, layered motion.
Unit 5: Applications · Surveillance · In vehicle vision system
Applications: Photo Album: Face detection, face recognition, Eigen faces, Active appearance and 3D shape models for face applications. Surveillance: Foreground and background separation, Particle filters, Chamfer matching, tacking and occlusion, combining view from multiple cameras, Human gait analysis. In vehicle vision system: locating roadways, road marking, identifying road signs, locating pedestrians.
BCIT053 Course Outcomes
- At the end of course , the student will be able to:
- CO 1 Implement fundamental image processing techniques required for computer vision. K1, K2
- CO 2 Perform shape analysis and implement boundary tracking techniques. K1, K2
- CO 3 Apply Hough Transformation for line, circle, ellipse detections. K3, K4
- CO 4 Apply 3D vision and motion related techniques. K3, K4
- CO 5 Develop applications using Computer vision techniques. K1, K2
BCIT053 Reference Books
- E. R. Davies, Computer and Machine Vision, Forth Edition, Academic Press, 2011
- R. Szeliski, Computer Vision: Algorithms and Applications, Springer, 2011
- Simon D. J. Prince, Computer Vision: Models, Learning, and Inference, Cambridge
Frequently Asked Questions about BCIT053
What is the syllabus of BCIT053 Computer Vision?
The AKTU BCIT053 Computer Vision syllabus is divided into 5 units: Image Processing Fundamentals; Shapes and Regions; Hough Transform; Vision and Motion; Applications and Surveillance and In vehicle vision system. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BCIT053?
BCIT053 Computer Vision has 5 units in the AKTU syllabus, with an L-T-P (Lecture-Tutorial-Practical) structure of 3-0-0 and 3 credits.
Is BCIT053 the same subject as KCIT053?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BCIT053 and KCIT053 depending on the scheme year. The syllabus content is the same.
How many credits is BCIT053 worth?
BCIT053 Computer Vision carries 3 credits in the AKTU evaluation scheme, with an L-T-P of 3-0-0.
Where can I download BCIT053 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BCIT053?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year Computer Science and Engineering (IoT) Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-19.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year Computer Science and Engineering (IoT) Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-19.