Saturday, 16 December 2023

Computer Graphics [CGR]

 Basic Concepts:

a. Define computer graphics and explain its significance.

b. Differentiate between raster and vector graphics.


Graphics Primitives:

a. Discuss the difference between points, lines, and polygons as graphics primitives.

b. Explain the concept of anti-aliasing in the context of computer graphics.


2D Transformations:

a. Describe the translation, rotation, and scaling transformations in 2D graphics.

b. Provide examples of homogeneous coordinates in 2D transformations.


Clipping and Windowing:

a. Explain the need for clipping in computer graphics.

b. Discuss the Cohen-Sutherland line-clipping algorithm.


3D Transformations:

a. Describe the translation, rotation, and scaling transformations in 3D graphics.

b. Explain the concept of perspective projection.


Hidden Surface Removal:

a. Discuss the challenges of hidden surface removal in 3D graphics.

b. Explain the Z-buffer algorithm.


Color Models:

a. Describe the RGB and CMY color models.

b. Explain the concept of color depth.


Rasterization:

a. Discuss the process of scan conversion in computer graphics.

b. Explain the Bresenham's line-drawing algorithm.


Computer Animation:

a. Define keyframes and in-betweening in computer animation.

b. Discuss the principles of skeletal animation.


Ray Tracing:

a. Explain the concept of ray tracing in computer graphics.

b. Discuss the advantages and disadvantages of ray tracing.


OpenGL:

a. Describe the OpenGL graphics pipeline.

b. Explain the purpose of the Model-View-Projection (MVP) matrix in OpenGL.


Virtual Reality (VR):

a. Define virtual reality and its applications in computer graphics.

b. Discuss the challenges of achieving realism in virtual reality.

0 Comments:

Post a Comment

Popular Posts

Categories

AI (33) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (146) C (77) C# (12) C++ (82) Course (67) Coursera (198) Cybersecurity (24) data management (11) Data Science (106) Data Strucures (8) Deep Learning (13) Django (14) Downloads (3) edx (2) Engineering (14) Excel (13) Factorial (1) Finance (6) flask (3) flutter (1) FPL (17) Google (21) Hadoop (3) HTML&CSS (47) IBM (25) IoT (1) IS (25) Java (93) Leet Code (4) Machine Learning (46) Meta (18) MICHIGAN (5) microsoft (4) Nvidia (1) Pandas (3) PHP (20) Projects (29) Python (892) Python Coding Challenge (285) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (2) Software (17) SQL (42) UX Research (1) web application (8)

Followers

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses