101 citations · 202 across the 12 of their papers we have counts for
15 papers
ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes
Zhenyi Liu, Devesh Shah, Brian Wandell
This paper describes a physics-based end-to-end software simulation for image systems. We use the software to explore sensors designed to enhance performance in high dynamic range…
Using simulation to quantify the performance of automotive perception systems
Zhenyi Liu, Devesh Shah, Alireza Rahimpour +3
The design and evaluation of complex systems can benefit from a software simulation - sometimes called a digital twin. The simulation can be used to characterize system performance…
Ray-transfer functions for camera simulation of 3D scenes with hidden lens design
Thomas Goossens, Zheng Lyu, Jamyuen Ko +3
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 we…
Accurate smartphone camera simulation using 3D scenes
Zheng Lyu, Thomas Goossens, Brian Wandell +1
We assess the accuracy of a smartphone camera simulation. The simulation is an end-to-end analysis that begins with a physical description of a high dynamic range 3D scene and incl…
Validation of image systems simulation technology using a Cornell Box
Zheng Lyu, Krithin Kripakaran, Max Furth +3
We describe and experimentally validate an end-to-end simulation of a digital camera. The simulation models the spectral radiance of 3D-scenes, formation of the spectral irradiance…
ISETAuto: Detecting vehicles with depth and radiance information
Zhenyi Liu, Joyce Farrell, Brian Wandell
Autonomous driving applications use two types of sensor systems to identify vehicles - depth sensing LiDAR and radiance sensing cameras. We compare the performance (average precisi…
Neural Network Generalization: The impact of camera parameters
Zhenyi Liu, Trisha Lian, Joyce Farrell +1
We quantify the generalization of a convolutional neural network (CNN) trained to identify cars. First, we perform a series of experiments to train the network using one image data…
A convolutional neural network reaches optimal sensitivity for detecting some, but not all, patterns
Fabian H. Reith, Brian A. Wandell
We investigate the performance of modern convolutional neural networks (CNN) and a linear support vector machine (SVM) with respect to spatial contrast sensitivity. Specifically, w…
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network
Zhenyi Liu, Trisha Lian, Joyce Farrell +1
Imaging systems are increasingly used as input to convolutional neural networks (CNN) for object detection; we would like to design cameras that are optimized for this purpose. It…
A system for generating complex physically accurate sensor images for automotive applications
Zhenyi Liu, Minghao Shen, Jiaqi Zhang +4
We describe an open-source simulator that creates sensor irradiance and sensor images of typical automotive scenes in urban settings. The purpose of the system is to support camera…
Science In the Cloud (SIC): A use case in MRI Connectomics
Gregory Kiar, Krzysztof J. Gorgolewski, Dean Kleissas +8
Modern technologies are enabling scientists to collect extraordinary amounts of complex and sophisticated data across a huge range of scales like never before. With this onslaught…
Learning the image processing pipeline
Haomiao Jiang, Qiyuan Tian, Joyce Farrell +1
Many creative ideas are being proposed for image sensor designs, and these may be useful in applications ranging from consumer photography to computer vision. To understand and eva…
Simultaneous Surface Reflectance and Fluorescence Spectra Estimation
Henryk Blasinski, Joyce Farrell, Brian Wandell
There is widespread interest in estimating the fluorescence properties of natural materials in an image. However, the separation between reflected and fluoresced components is diff…
Data management to support reproducible research
B. A. Wandell, A. Rokem, L. M. Perry +2
We describe the current state and future plans for a set of tools for scientific data management (SDM) designed to support scientific transparency and reproducible research. SDM ha…
Evaluating the accuracy of diffusion MRI models in white matter
Ariel Rokem, Jason D. Yeatman, Franco Pestilli +4
Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorit…