Brian Wandell

(Stanford University)

➲ Play Video

Duration: 36m 50s

Date: June 2015

Description:

There are many innovations in imaging sensors designs. A bottleneck in evaluating proposed designs is the need to create optimal processing algorithms. I describe a pipeline architecture and simulation methods that automate the pipeline design.

Further Information:

B. A. Wandell, “Learning the Image Processing Pipeline,” inImaging and Applied Optics 2015, OSA Technical Digest (online) (Optical Society of America, 2015), paper IT3A.1.

• Search Talks

  Search for:

• January 2023

  M	T	W	T	F	S	S
  « Dec
  						1
  2	3	4	5	6	7	8
  9	10	11	12	13	14	15
  16	17	18	19	20	21	22
  23	24	25	26	27	28	29
  30	31

• Sections

  Welcome to Stanford Talks! Technical Support CNI     CNI Inaugural Event     CNI Neuroimaging Tutorials     CNI Neuroimaging Seminars     CNI 5th Year Event Center for Mind, Brain and Computation (MBC)     MBC Symposium: How the Brain Makes Meaning     MBC Symposium: Computational Mechanisms of Learning and Memory     MBC Symposium: Distributed Computation through Neural Dynamics     MBC Symposium: The Role of Sparsity in Neural Computation and the Natural World     MBC Symposium: Deep Learning     MBC Graduate Training Seminar Series     MBC Symposium: Retina - Pathways, Processing, and Prostheses     MBC Symposium: Network dynamics: Theory and Experiment Psychology     Psychology Colloquium Series     PSYCH: Awards and Honors     PSYCH 216A: Statistics and Data Analysis in Matlab     PSYCH 221: Applied Vision and Image Systems     PSYCH: Special Lectures     PSYCH: Hilgard Scholar Lecture Series     PSYCH 204A: Introduction to Human Neuroimaging Using MRI     PSYCH 212: Graduate Social Psychology     Vision Science Society Symposia: The Visual White-Matter Matters     Psychology One Annual Conference SCIEN     SCIEN Symposium on Biomedical Imaging     SCIEN Colloquium Series     SCIEN: Workshop on 3D Imaging     SCIEN: Workshop on Light Field Imaging     SCIEN: Workshop on Cinematic VR and Immersive Storytelling     SCIEN: VR in China     SCIEN Industry Affiliates Meetings     SCIEN Workshop on Augmented and Mixed Reality     SCIEN: Workshop on Medical VR/AR     SCIEN Workshop on the Future of Medical Imaging: Sensing, Learning and Visualization Stanford Law School     SIGNS & CLB: Discussion Series     Law and Memory Conference     Law and Policy of the Developing Brain: Neuroscience from Womb to Death     CLB: Podcast Series CTL: Center for Teaching and Learning     CTL: Award Winning Teachers on Teaching Recent Talks SCIEN LOGIN Stanford Login Login Stanford Neurosciences     Neural Engineering Workshop     Stanford Brain Rejuvenation Project     SNI Seminar Series     Neurosciences Institute Seed Grant Mini-Symposium FAQ Speaker Release Service Inquiry Tutorials     Neuroimaging Tutorials     Statistics Tutorials     Image Systems Tutorials     Programming Tutorials     ISETBIO Tutorials SystemX Alliance     SystemX Alliance: Seminar Series     SystemX Alliance Workshop: Computing, April 2015     SystemX Alliance Conference: Spring 2015     SystemX Alliance Conference: Fall 2015     SystemX Alliance: Workshop on Bio Interfaces Statistics     Statistics Seminars

• Recent Talks

  • Protected: Dr. Dan McGrath: “Insider’s View on Pixel Design” (01/26/2023)
  • Protected: Professor Lei Li (Rice University): “New Generation Photoacoustic Imaging: From bench-top whole-body imagers to wearable sensors” (01/22/2023)
  • Protected: Dr. Jeong Joon (JJ) Park (Stanford): “Learning to Re-create Reality in 3D” (01/12/2023)
  • Protected: 2022 SCIEN Affiliates Meeting Poster Previews (12/29/2022)
  • Protected: Gordon Wetzstein: “Efficient Neural Scene Representation, Rendering, and Generation” (12/29/2022)
  • Protected: Kawin Setsompop: “MRI acquisition technology for advanced neuroimaging” (12/29/2022)
  • Protected: Aaron Roodman: “The Fastest Eye on the Sky: The Vera C. Rubin Observatory and the LSST Camera” (12/29/2022)
  • Protected: Professor Emily Cooper (UC Berkeley): Taking a binocular view of augmented reality system design (12/11/2022)
  • Protected: Dr. Thomas Müller (NVIDIA): “Neural Networks in High Performance Graphics” (11/30/2022)
  • Protected: Dr. Tara Akhavan (IRYStec): “Perceptual Displays Today & Tomorrow – Productization and Evaluation” (11/16/2022)

• Topics

  3D augmented reality brain brain imaging camera CLB CNI CNS Cognitive Neuroscience computational imaging computer vision computing deep-learning digital imaging fMRI image sensor ipython law learning light field imaging machine learning MBC medical imaging medical technology memory microscopy MRI MR Methods neural circuitry neural coding neural computation neural network Neuroscience photography podcast programming psychology python retina scien social psychology statistics tutorial virtual reality vision

• More talks

  • NVIDIA GPU Technology Conference 2015
  • NeuWriteWest - podcast series
  • Janelia’s public lecture series
  • Allen Institute for Brain Science Annual Symposium
  • EE distinguished lecture series (Stanford)
  • National Academy of Sciences - 2014 Talks

• Share…

  • Google+
  • Facebook
  • LinkedIn
  • Twitter
  • Tumblr

© Stanford Talks
Stanford University | Terms of Use | Copyright Complaints