Computer Science Channel · UCTV

Computing Primetime: Visual Computing

·52 min·3 clips
Juergen Schulze imagines augmented reality painting personalized driving lines directly onto the street.
1. Computer Science Channel's “Computing Primetime: Visual Computing” presents UC San Diego's Center for Visual Computing. 2. Ravi Ramamurthy, the center's director and a UC San Diego professor, leads a discussion with cognitive scientist Zhuwen Tu and Qualcomm Institute researcher Juergen Schulze. 3. The episode asks how visual computing can make machines capture, interpret, generate, and display visual information. 4. Schulze defines visual computing as an umbrella covering computer graphics, computer vision, virtual reality, and data visualization. 5. Tu says the field's definition changed during the previous five years as data, GPUs, and deep learning became available. 6. Ramamurthy describes computer vision as progressing from reconstructing three-dimensional spaces toward interpreting people, objects, language, action, and intention. 7. New sensors mentioned include Microsoft's Kinect, Intel's RealSense, and Lytro light-field cameras. 8. Tu cites Viola-Jones face detection as an early computer-vision system that reached commodity cameras. 9. ImageNet, associated in the discussion with Stanford professor Fei-Fei Li, encouraged recognition across about 1,000 object categories and roughly 1 million images. 10. The speakers use cell phones to show how cameras, processing, image effects, displays, and touch interfaces combine visual-computing functions. 11. Schulze describes Microsoft HoloLens, Oculus Rift, and HTC Vive as examples of consumer-oriented virtual- and augmented-reality development. 12. A proposed augmented-reality driving system would place a red route line, lane guidance, and turning cues onto the real street. 13. Ramamurthy links photorealistic rendering to realistic skin, clothing, lighting, and digital characters. 14. Schulze says telepresence could reconstruct a remote person's appearance at high quality while reducing the data sent across the internet. 15. Ramamurthy connects visual computing with robotics through perception, non-Lambertian reflections, motion planning, and contextual action. 16. The panel describes drones using structure-from-motion data to create three-dimensional models of houses, sculptures, and landmarks. 17. Juergen Schulze emphasizes that city driving remains difficult because autonomous cars must handle pedestrians, cyclists, motorcycles, and turning vehicles. 18. The format is a moderated technical conversation that moves between definitions, applications, research programs, industry partnerships, and teaching. 19. Computer-vision students, graphics researchers, robotics builders, and virtual-reality developers. 20. Listeners seeking personal storytelling or nontechnical entertainment may skip it.
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