Design an image compression and decompression system
1. SYSTEM OVERVIEW The amount of information of picture on digital form is quite large compared with commonly available bandwidth to transmit them over the internet or wireless communication. Another … Continue reading
BeagleBoneBlack
Contents [hide] 1 BeagleBone Black Description 1.1 BeagleBone Black Features 1.2 BeagleBone Black Picture 1.3 BeagleBone Black Key Component Locations 1.4 BeagleBone Black Connector and Switch Locations 2 Frequently Asked Questions 3 Terms of Use 4 Board Shipments … Continue reading
BeagleBone Black vs Raspberry Pi
Today Newark Element 14 announced that they had stock of the new BeagleBone Black. The minute it got the announcement I was on the site, and within minutes I was blown … Continue reading
TI LaunchPad MSP430 getting started.
Menu 1. Introduction 2. What you will need 3. The Software 4. Starting a New Project 5. Programming the Chip 6. Line by Line 7. Compiling 8. Debugging 9. Concluding Note Introduction There are so many different ways to … Continue reading
Raspberry Pi Arch Linux ARM Tutorial
The Raspberry Pi created quite the buzz on the internet prior to its release. Much like the rest of the electronics community, we here at SparkFun couldn’t wait to get our hands … Continue reading
Embedded Computer Architecture
Code : 5KK73 Credits: 5 ECTS Lecturers : Prof. dr. Henk Corporaal, Dr. Bart Mesman Tel. : +31-40-247 5195 / 3653 (secr.) 5462 (office) Email: B.Mesman at tue.nl; H.Corporaal at tue.nl Project assistance: … Continue reading
Stereo matching
Approaches to the correspondence problem can be broadly classified into two categories: the intensity-based matching and the feature-based matching techniques. In the first category, the matching process is applied directly … Continue reading
STEREOSCOPIC VISION AND PERSPECTIVE PROJECTION
This teach file gives an introduction to stereoscopic vision. It also describes perspective projection. Contents Please read the introduction giving general information about the nature of this document. Preliminaries Introduction Image and camera coordinates … Continue reading
Intelligent Vision Systems
Day Time Where Lecture Feb 28 2-4pm Eng.408 1-2) Introduction, Image segmentation-1 Feb 29 3-4pm Eng.408 3) Image segmentation-2 example March 6 2-4pm Eng.408 4-5) Image segmentation-2 [1pp] [2pp], Image_Filtering Image_features [1pp] [2pp] March 7 3-4pm Eng.408 6) … Continue reading
Basics of Computational Stereo Vision
These notes are under continuous revision. Most of presented materials are taken from textbooks and other sources indicated in references. Lectures will generally follow topics enumerated in CONTENTS, but not … Continue reading
Elements of Geometric Computer Vision
Andrea Fusiello © Copyright by Andrea Fusiello. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-sa/2.0/deed.en or send a letter to Creative Commons, … Continue reading
Visual 3D Modeling from Images
Overview The presented system gradually retrieves more information about the scene and the camera setup. Images contain a huge amount of information (e.g. color pixels). However, a lot of it is … Continue reading
Sylvain Paris – Researcher (Reconstruction from image sequences and recovery of the 3D geometry)
Research Interest My work mainly focuses on extracting information from photographs and videos. My goal is to obtain useful data for Computer Graphics, i.e. suitable for rendering new images. During … Continue reading
Projective Geometry for Image Analysis
3D Reconstruction from Multiple Images Suppose that a fixed scene is seen by two or more perspective cameras. We are interested in geometric issues, so we will suppose that the … Continue reading
Body in motion
The photographic study of humans in motion dates from the late 1800’s with the work of Muybridge and Marey. Our research continues this tradition but with advanced graphics models of … Continue reading
Kinect Fundamentals #3: Getting distance-data from the Depth Sensor
Now that you know how to use the RGB Camera data, it’s time to take a look at how you can use the depth data from the Kinect sensor. It’s … Continue reading
Kinect tutorial 1: First steps
This series of tutorials will explain the usage of a Kinect device for “serious” researching purposes. As you may know, Kinect is in fact an affordable depth sensor, developed with technology from PrimeSense, … Continue reading
Affective Computing
This book provides an overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The … Continue reading
Scene Reconstruction Pose Estimation and Tracking
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The sciences of pattern recognition and computational vision have been inextricably intertwined since … Continue reading
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