Entrance Announcement
MICTE 2080
2080 Magh 07
User:Shila Regmi/Teaching Lesson Plan 19
Subject: Computer Graphics
Period: Fourth
Topic: Three Dimensional Graphics
Teaching Item: Visible Surface Detection Methods: Object Space (Depth Sorting) and Image Space (Z-Buffer, A-Buffer and Scanline) Methods
Class: BICTE 6th Semester
Unit: Five
Time: 50min
No. of Students: 20
Specific Objectives:
At the end of this lesson, students will be able to:
- understand the concept of visible surface detection in computer graphics
- explore and differentiate between Object Space Methods and Image Space methods.
- learn about the principles behind depth sorting algorithms, their advantages and limitations.
Instruction Materials:
Daily usages materials.
Multimedia Projector
Image showing Depth Sorting Method
Laptop
Teaching Learning Activities
Enter the classroom, and motivate students before starting the lesson for their concentration on the lesson, and then write todays topic on the board.
Begin the class by asking some questions to students related to today's topic.
Open the presentation slide,briefly explain visible surface detection method and its types.
Begin with difference between two types of visible surface detection i.e., Object Space Methods and Image Space methods, explain about them with their examples and real-world usage scenarios.
I will define object space methods and introduce depth sorting.
Explain the principles behind depth sorting algorithms, such as Painter's algorithm.
Discuss the advantages and limitations of depth sorting.
Ask students some questions to know what they understand after the completion of the explanation and where they get confused.
Summarize the lesson in brief, clearing students confusion too.
Assessment
- Explain the concept of Object Space visible surface detection.
- Provide an example scenario where Depth Sorting would be effective.
Evaluation
- Differentiate between Object Space Methods and Image Space methods.
- What are the advantages of Object Space Depth Sorting? Discuss any limitations or challenges associated with this approach.