no code implementations • 2 Mar 2023 • Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce Farrell, Brian A Wandell
The simulation can be used to characterize system performance or to test its performance under conditions that are difficult to measure (e. g., nighttime for automotive perception systems).
1 code implementation • 17 Feb 2022 • Thomas Goossens, Zheng Lyu, Jamyuen Ko, Gordon Wan, Joyce Farrell, Brian Wandell
Combining image sensor simulation tools (e. g., ISETCam) with physically based ray tracing (e. g., PBRT) offers possibilities for designing and evaluating novel imaging systems as well as for synthesizing physically accurate, labeled images for machine learning.
no code implementations • 19 Jan 2022 • Zheng Lyu, Thomas Goossens, Brian Wandell, Joyce Farrell
We assess the accuracy of a smartphone camera simulation.
no code implementations • 10 May 2021 • Zheng Lyu, Krithin Kripakaran, Max Furth, Eric Tang, Brian Wandell, Joyce Farrell
We describe and experimentally validate an end-to-end simulation of a digital camera.
no code implementations • 6 Jan 2021 • Zhenyi Liu, Joyce Farrell, Brian Wandell
(1) When the spatial sampling resolution of the depth map and radiance image are equal to typical camera resolutions, a ResNet detects vehicles at higher average precision from depth than radiance.
no code implementations • 8 Dec 2019 • Zhenyi Liu, Trisha Lian, Joyce Farrell, Brian Wandell
We quantify the generalization of a convolutional neural network (CNN) trained to identify cars.
1 code implementation • 24 Oct 2019 • Zhenyi Liu, Trisha Lian, Joyce Farrell, Brian Wandell
It is better to evaluate camera designs for CNN applications using soft prototyping with task-specific metrics rather than consumer photography metrics.
1 code implementation • CVPR 2017 • Henryk Blasinski, Joyce Farrell, Brian Wandell
There are many scientific, medical and industrial imaging applications where users have full control of the scene illumination and color reproduction is not the primary objective For example, it is possible to co-design sensors and spectral illumination in order to classify and detect changes in biological tissues, organic and inorganic materials, and object surface properties.
no code implementations • 30 May 2016 • Haomiao Jiang, Qiyuan Tian, Joyce Farrell, Brian Wandell
Many creative ideas are being proposed for image sensor designs, and these may be useful in applications ranging from consumer photography to computer vision.
1 code implementation • 13 May 2016 • Henryk Blasinski, Joyce Farrell, Brian Wandell
There is widespread interest in estimating the fluorescence properties of natural materials in an image.