Uploaded June 2015 | Updated September 2026, 2 days ago
This talk was given by undergraduate Colin during the 9th Annual Computer Science Undergraduate Research Symposium in 2015. Colin‘s research was supervised by Dr. Montek Singh and Leandra Vicci.
"Scene Generation and Visualization for an HDR Camera Sensor”
We are developing a novel camera sensor that provides frameless capture, and has significantly higher dynamic range (20 bits), finer color sensitivity, and lower noise as compared to the current state-of-the-art sensors. The strength of the approach lies not in developing new types of photodetectors or analog circuitry, but in the manner in which information is extracted from the pixel sensor, transported to the processing logic, and processed to yield intensity values. In this talk, I will focus on my contribution to this project: creating synthetic scenes to evaluate the sensor design. Since current commodity cameras offer only 8-12 bits of dynamic range, real-world photographs are inadequate for use as source scenes to demonstrate the capabilities of our sensor. I have used the open-source Blender framework for generating ray-traced scenes with 20-30 bits of dynamic range, and the open-source EXR framework for developing a visualization tool.
Colin Arnott is a senior undergraduate student at UNC majoring in Computer Science. This semester he participated in mentored research with Montek Singh and Leandra Vicci, helping them on their on their high dynamic range image processor design. His interests include in security, computer hardware and cryptography and he has worked in internships at IBM and Moody’s Investor Service.
http://cs.unc.edu/academics/undergraduate/symposium/symposium-2015/
This talk was given by undergraduate Colin during the 9th Annual Computer Science Undergraduate Research Symposium in 2015. Colin‘s research was supervised by Dr. Montek Singh and Leandra Vicci.
"Scene Generation and Visualization for an HDR Camera Sensor”
We are developing a novel camera sensor that provides frameless capture, and has significantly higher dynamic range (20 bits), finer color sensitivity, and lower noise as compared to the current state-of-the-art sensors. The strength of the approach lies not in developing new types of photodetectors or analog circuitry, but in the manner in which information is extracted from the pixel sensor, transported to the processing logic, and processed to yield intensity values. In this talk, I will focus on my contribution to this project: creating synthetic scenes to evaluate the sensor design. Since current commodity cameras offer only 8-12 bits of dynamic range, real-world photographs are inadequate for use as source scenes to demonstrate the capabilities of our sensor. I have used the open-source Blender framework for generating ray-traced scenes with 20-30 bits of dynamic range, and the open-source EXR framework for developing a visualization tool.
Colin Arnott is a senior undergraduate student at UNC majoring in Computer Science. This semester he participated in mentored research with Montek Singh and Leandra Vicci, helping them on their on their high dynamic range image processor design. His interests include in security, computer hardware and cryptography and he has worked in internships at IBM and Moody’s Investor Service.
http://cs.unc.edu/academics/undergraduate/symposium/symposium-2015/
