Introduction to Computer Graphics and Imaging (Fall 2021)

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In person activities will be both limited and truly optional. (The Gates Computer Science Building is closed until 2022 for renovation.)

Please sign up for the class Piazza for class announcements.

To satisfy this category, students need to enroll under the Letter Grade grading option; the WAY-CE requirement is not met by the Credit/No Credit option.

Date | Contents |
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09/16/2021 | Welcome to the CS 148 Fall 2021 Website! Sign up for the class Piazza for future announcements. |

This is the introductory prerequisite course in the computer graphics sequence which introduces students to the technical concepts behind creating synthetic computer generated images. The beginning of the course focuses on using Blender to create visual imagery, as well as an understanding of the underlying mathematical concepts including triangles, normals, interpolation, texture mapping, bump mapping, etc. Then we move on to a more fundamental understanding of light and color, as well as how it impacts computer displays and printers. From this we discuss more thoroughly how light interacts with the environment, and we construct engineering models such as the BRDF and discuss various simplifications into more basic lighting and shading models. Finally, we discuss ray tracing technology for creating virtual images, while drawing parallels between ray tracers and real world cameras in order to illustrate various concepts. Anti-aliasing and acceleration structures are also discussed. The final class project consists of building out a ray tracer to create a visually compelling image. Starter codes and code bits will be provided here and there to aid in development, but this class focuses on what you can do with the code as opposed to what the code itself looks like. Therefore grading is weighted towards in person "demos" of the code in action - creativity and the production of impressive visual imagery are highly encouraged. Prerequisites: CS 107, MATH 51.

This is the first course in the computer graphics sequence at Stanford. The second course is CS248 and requires this course, CS 148, as a prerequisite. Topics include: Scanline Rendering; Triangles; Rasterization; Transformations; Shading; Triangle Meshes; Subdivision; Marching Cubes; Textures; Light; Color; Cameras; Displays; Tone Mapping; BRDF; Lighting Equation; Global Illumination; Radiosity; Ray Tracing; Acceleration Structures; Sampling; Antialiasing; Reflection; Transmission; Depth of Field; Motion Blur; Monte Carlo; Bidirectional Ray Tracing; Light Maps.

- CS 107, MATH 51
- Must be fluent in Python
~~C/C++~~and familiar with modern development tools such as Git, Visual Studio, XCode, or the GNU toolchain - We will assume knowledge of the following mathematical topics
- Vectors, vector operations, and vector spaces
- Matrices
- Basic linear algebra such as solving a system of linear equations
- Polynomials
- Elementary signal processing (Fourier transform and filtering)

- Tuesdays and Thursdays, 11:30pm to 1:00pm
- Link (log in with Stanford email): https://canvas.stanford.edu/courses/142918/external_tools/3367
- The class will be recorded for SCPD on Canvas, as usual.

- Instructor
- Ron Fedkiw
- Office Hours:
~~Most Tuesdays and Thursdays from 1:00pm to 2:00pm~~

For 2021, given Covid, and to better address emergencies, Ron's office hours are by appointment, and he will send zoom invites. - *
~~Some CS faculty meetings conflict with these times, and those hours will be moved to the end of the quarter to provide office hours focused on your final projects (probably weeks 8 and 9).~~ - * Ron's office hours are geared towards the lecture material and final projects; for homework help, we want students to get to know the CAs, as they'll be the ones grading.

- Course Assistants (CAs)
- Staff Email: cs148.staff@gmail.com
- Kevin Li (head CA) -- kevli@cs.stanford.edu
- Yilin Zhu (lead HW CA) -- yilinzhu@stanford.edu
- Aditya Iswara -- iswara@stanford.edu
- Dalton Omens -- domens@stanford.edu
- Jane Wu -- janehwu@stanford.edu
- Jessica Yeung -- jyeung27@stanford.edu
- Ken Hong -- kenhong@stanford.edu
- Rachael Wang -- rachaelw@stanford.edu
- Shreya Venkat -- venkatsh@stanford.edu
- Sifan Ye -- sifanye@stanford.edu
- Yongxu Jin -- yxjin@stanford.edu

Piazza will be used for Q&A in CS 148. Please enroll yourself through Piazza.