Artificial Life for Computer Graphics and Vision
Lecture, four hours; outside study, eight hours. Enforced requisite: course 174A. Recommended: course 161. Investigation of important role that concepts from artificial life, emerging discipline that spans computational and biological sciences, can play in construction of advanced computer graphics and vision models for virtual reality, animation, interactive games, active vision, visual sensor networks, medical image analysis, etc. Focus on comprehensive models that can realistically emulate variety of living things (plants and animals) from lower animals to humans. Exposure to effective computational modeling of natural phenomena of life and their incorporation into sophisticated, self-animating graphical entities. Specific topics include modeling plants using L-systems, biomechanical simulation and control, behavioral animation, reinforcement and neural-network learning of locomotion, cognitive modeling, artificial animals and humans, human facial animation, and artificial evolution. Letter grading.
Review Summary
- Clarity
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8.3 / 10
- Organization
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10.0 / 10
- Time
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10-15 hrs/week
- Overall
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10.0 / 10
Reviews
The lectures were hit or miss, either a little boring or incredibly interesting and mind-blowing. I still recommend going to lectures, because Dr Terzopoulos has a lot of amazing experience that he can teach. The concepts are really interesting if you like learning about life simulation. There is no homework, only a final project that you should spend about least 5 weeks on. The final project is in groups and open-ended, so I recommend finding a group with similar interests and working on something you all are passionate about. Most people did the final project in Unity, which helped speed up the parts of the project so we could work on more complex details.
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Course
Grading Information
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Has a group project
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Attendance not required
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No midterms
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No final
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0% recommend the textbook