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Prof. Brian Wandell (Stanford): “Simulation Technologies for Image Systems Engineering”
November 20, 2019 @ 4:30 pm - 5:30 pm
Location: Packard 101
Talk Title: Simulation Technologies for Image Systems Engineering
Talk Abstract: The use of imaging systems has grown enormously over the last several decades; these systems are an essential component in mobile communication, medicine, and automotive applications. As imaging applications have expanded the complexity of imaging systems hardware – from optics to electronics – has increased dramatically. The increased complexity makes software prototyping an essential tool for the design of novel systems and the evaluation of components. I will describe several simulations we created for image systems engineering applications: (a) designing cameras for autonomous vehicles , (b) simulating image encoding by the human eye and retina for image quality assessments , and (c) assessing the spatial sensitivity of CNNs for multiple applications . This is a good moment to consider how academia and industry might cooperate to create an image systems simulation infrastructure that speeds the development of new systems for the many opportunities that will arise over the next few decades.
Speaker’s Biography: Brian A. Wandell is the first Isaac and Madeline Stein Family Professor at Stanford University. He joined the Psychology faculty in 1979 and is a member, by courtesy, of Electrical Engineering, and Ophthalmology. He is Director of the Center for Cognitive and Neurobiological Imaging, and Deputy Director of the Wu Tsai Neuroscience Institute. Wandell’s research uses magnetic resonance imaging and software simulations for basic and applied research spanning human visual perception, brain development, and image systems simulations.
- Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network (2019)
Zhenyi Liu, Trisha Lian, Joyce Farrell, and Brian Wandell
ICCV Workshop on Autonomous Vehicles
- Ray tracing 3D spectral scenes through human optics models (2019).
Trisha Lian, Kevin McKenzie, David Brainard, Nicolas Cottaris and Brian Wandell.
Journal of Vision October 2019, Vol.19, 23. doi:https://doi.org/10.1167/19.12.23
- Comparing pattern sensitivity of a convolutional neural network with an ideal observer and support vector machine (2019).
Fabian Reith and Brian Wandell