Geometry in computer vision | Stereophotogrammetry
Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels. This is similar to the biological process of stereopsis. (Wikipedia).
Stereo Vision | Student Competition: Computer Vision Training
In this video, you will learn about stereo vision and calibrating stereo cameras. We will use an example of reconstructing a scene using stereo vision. Get files: https://bit.ly/2ZBy0q2 Explore the MATLAB and Simulink Robotics Arena: https://bit.ly/2yIgwfS ---------------------------------
From playlist Student Competition: Computer Vision Training
An excellent song which I could not find on Youtube.
From playlist the absolute best of stereolab
"Seeing in 3D" discusses the basics of stereoscopic human vision, examines the most common types of S3D displays available today, and even asserts a humorous look into the future.
From playlist IU Pervasive Technology Institute and the TeraGrid
Lecture 9 | Introduction to Robotics
Lecture by Professor Oussama Khatib for Introduction to Robotics (CS223A) in the Stanford Computer Science Department. Guest lecturer Gregory Hager covers Perception and Sensing in Robotic Mobility and Manipulation. CS223A is an introduction to robotics which covers topics such as Spati
From playlist Lecture Collection | Introduction to Robotics
Stereo Visual SLAM for Automated Driving
Learn how to develop stereo visual SLAM algorithms for automated driving applications using Computer Vision Toolbox™ and Automated Driving Toolbox™. To learn more about the examples shown in this video, visit the following pages: 1. Stereo Visual Simultaneous Localization and Mapping: ht
From playlist AI, Machine Learning, Data Science | Developer Tech Showcase
Hands-On with the ZED Mini Mixed-Reality Camera!
We visit the offices of Stereolabs, the makers of the ZED and ZED Mini mixed reality camera systems to test out their implementation of a passthrough camera accessory for VR headsets. Using their ZED Mini, we're able to get an augmented reality experience with the Oculus Rift and HTC Vive,
From playlist VR and AR-Related Videos
CERIAS Security: Hazard Spaces Knowing Where, When, What Hazards Occur 4/6
Clip 4/6 Speaker: Peter Bajcsy · University of Illinois at Urbana-Champaign/ National Center for Supercomputing Applications (NCSA) While considering all existing hazards for humans due to (a) natural disastrous events, (b) failures of human hazard attention or (c) intentional harmful
From playlist The CERIAS Security Seminars 2005 (2)
From playlist the absolute best of stereolab
SDS 529: A.I. Robotics at Home — with Dave Niewinski
Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber. In this episode you will learn: • Dave’s Armoury [2:42] • Robotic cornhole tournament [10:30] • Dave’s many robots [12:24] • Dave’s idea process [26:49] • Future robots [29:41] •
From playlist Super Data Science Podcast
Where 09: John Zelek, "Wearable Sensory Substitution Device
John Zelek (University of Waterloo) "Wearable Sensory Substitution Devices for Navigation"
From playlist Where 2.0 2009
Geoffrey Hinton: "Does the Brain do Inverse Graphics?"
Graduate Summer School 2012: Deep Learning, Feature Learning "Does the Brain do Inverse Graphics?" Geoffrey Hinton, University of Toronto Institute for Pure and Applied Mathematics, UCLA July 12, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summe
From playlist GSS2012: Deep Learning, Feature Learning
Unofficial video for Stereolab's "Whisper Pitch". Song found on their collection of singles titled 'fab four suture'
From playlist the absolute best of stereolab
Making machines that see: Geometry, Uncertainty and Deep Learning
Professor Cipolla has been a Professor of Information Engineering at the University of Cambridge since 2000. Previously he worked as a Toshiba Fellow and engineer at the Toshiba Corporation Research and Development Centre in Kawasaki, Japan, and was awarded a D.Phil. (Computer Vision) from
From playlist AI for Social Good
