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Module Detailed Information for [EE4212]
Academic Year : 2017/2018 Semester : 2
Correct as at 22 Jan 2019 05:00

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Module Information
Module Code :
Module Title : Computer Vision
Module Description : The goal of this module is to introduce the students to the problems and solutions of modern computer vision, with the main emphasis on recovering properties of the 3D world from image and video sequence. After this module, students are expected to be able to understand and compute the basic geometric and photometric properties of the 3D world (such as point depth and surface orientation), and to apply various methods for video manipulation such as segmentation, matting, and composition. Main topics covered include: Singular value decomposition, projective geometry, Marr's paradigm, calibration problems, correspondence and flow, epipolar geometry, motion estimation, reflectance models, shape from shading, photometric stereo, color processing, texture analysis and synthesis, advanced segmentation, matting and composition techniques.
Module Examinable : -
Exam Date : 07-05-2019 EVENING
Modular Credits : 4
Pre-requisite : MA1508E and EE3731C/EE4704 (for AY2017 intake & after) ; EE3206 or EE3731C (for AY2016 intake & prior)
Preclusion : CS4243
Module Workload (A-B-C-D-E)* : 2.5-0.5-0-3-4
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
No Tutorial Class or to be announced. Please check with the department offering this module.

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