Entrance Announcement
MICTE 2080
2080 Magh 07
User:Shila Regmi/Teaching Lesson Plan 18
Subject: Computer Graphics
Period: Fourth
Topic: Three Dimensional Graphics
Teaching Item: Projection: Definition and Types, Derivation of Parallel and Perspective Projection Matrices
Class: BICTE 6th Semester
Unit: Five
Time: 50min
No. of Students: 18
Specific Objectives:
At the end of this lesson, students will be able to:
- understand how projection matrices are derived for parallel and perspective projections.
Instruction Materials:
Daily usages materials.
PowerPoint slide.
Multimedia Projector
Laptop
Teaching Learning Activities
I will start the lesson by asking students what they know about parallel and prespective projection. Encourage them to share their thoughts and experiences.
I will introduce the concept of projection matrices and their significance in representing projection transformations.
I will introduce the concept of homogeneous coordinates and how they are used in projection transformations and derive the parallel projection matrix for orthographic projection using linear transformations.
I will explain the elements of the parallel projection matrix and how they relate to the projection process.
I will introduce the concept of perspective division and how it affects perspective projection and derive the perspective projection matrix using homogeneous coordinates and perspective division.
I will explain the elements of the perspective projection matrix and how they relate to the projection process.
I will ask students if they have any confusion related to today topic and at last i will summarize the lesson in brief.
Assessment
- Explain the concept of a projection matrix and its role in representing projection transformations in computer graphics.
- Discuss the elements of the perspective projection matrix and their relationship to the projection process.
- Describe the elements of the parallel projection matrix and discuss their significance in the projection process.
Evaluation
- Provide examples of real-world applications where parallel and perspective projections are used, and explain how projection matrices are employed in those contexts.