Depth Analysis With Stereo Camera

Slides:



Advertisements
Similar presentations
Hi_Lite Scott Fukuda Chad Kawakami. Background ► The DARPA Grand Challenge ► The Defense Advance Research Project Agency (DARPA) established a contest.
Advertisements

December 5, 2013Computer Vision Lecture 20: Hidden Markov Models/Depth 1 Stereo Vision Due to the limited resolution of images, increasing the baseline.
Electrical and Computer Engineering Final Project Review April 9th, 2010 Team Zink Nicholas Cipriano, Ali Jameel, Jeremy Mestancik, Brian Simakauskas.
Autonomous Vehicle: Navigation by a Line Created By: Noam Brown and Amir Meiri Mentor: Johanan Erez and Ronel Veksler Location: Mayer Building (Electrical.
Chapter 2 Computer Imaging Systems. Content Computer Imaging Systems.
Lab 2: Capturing and Displaying Digital Image
Computer Graphics Computer Graphics is everywhere: Visual system is most important sense: High bandwidth Natural communication Fast developments in Hardware.
ICPR/WDIA-2012 High Quality Novel View Synthesis Based on Low Resolution Depth Image and High Resolution Color Image Jui-Chiu Chiang, Zheng-Feng Liu, and.
Stereoscopic Imaging for Slow-Moving Autonomous Vehicle By: Alexander Norton Advisor: Dr. Huggins April 26, 2012 Senior Capstone Project Final Presentation.
By: Alex Norton Advisor: Dr. Huggins November 15, 2011
Chess Playing Bot. Detecting Green coloured squares using Blobs.
CS654: Digital Image Analysis Lecture 8: Stereo Imaging.
December 4, 2014Computer Vision Lecture 22: Depth 1 Stereo Vision Comparing the similar triangles PMC l and p l LC l, we get: Similarly, for PNC r and.
Experiments Irena Farberov,Andrey Terushkin. Stereo The word "stereo" comes from the Greek word "stereos" which means firm or solid. With stereo vision.
1 Real-Time Stereo-Matching for Micro Air Vehicles Pascal Dufour Master Thesis Presentation.
Image Comparison Tool Product Proposal Tim La Fond and Peter Beckfield.
Final Class Diagram for C++ Implementation Clickermatic Software Clicker.
Stereoscopic Imaging for Slow-Moving Autonomous Vehicle By: Alex Norton Advisor: Dr. Huggins February 28, 2012 Senior Project Progress Report Bradley University.
1 2D TO 3D IMAGE AND VIDEO CONVERSION. INTRODUCTION The goal is to take already existing 2D content, and artificially produce the left and right views.
Information Technology. *At Home *In business *In Education *In Healthcare Computer Uses.
Lab 4 HW/SW Compression and Decompression of Captured Image
Augmented Reality Capture the Flag
A Plane-Based Approach to Mondrian Stereo Matching
Part 1- Computer Systems Part 2 – Computer Architecture Mr Belony
Technology Applications Mr. Moses
<Project Title>
Mapping Robot Department of Electrical & Computer Engineering
Depth Analysis With Stereo Cameras
Tabletop Notifier Department of Electrical & Computer Engineering
Near Field Communication Smart Door
Automated Medicine Dispenser
제 5 장 스테레오.
Voice Manipulator Department of Electrical & Computer Engineering
Depth Analysis With Stereo Cameras
ECE Computer Engineering Design Project
2D GPU Platform with Hardware-Accelerated Features
ECE Computer Engineering Design Project
Fig. 4 Block diagram of system
Accelerometer-Based Character Recognition Pen
Network Management Checking Performance + Traffic & Configuration
ECE Computer Engineering Design Project
Food Inventory Tracker
Fig. 3 Infrared Components
Web Development & Design Chapter 1, Sections 4, 5 & 6
Printers.
3D Stereoscopic Image Analysis Ahmed Kamel, Aashish Agarwal
Common Classification Tasks
<Project Title>
<Project Title>
Satellite On Board Computer Software
ECE Computer Engineering Design Project
Wireless Autonomous Trolley
Depth Analysis With Stereo Camera
Network Controllable MP3 Player
Interactive Schedule Builder
Augmented Reality: Internet of Things
Fig. 1 Throttle body(left) and gas pedal(right)
<Project Title>
Voice Manipulator Department of Electrical & Computer Engineering
Accelerometer-Based Character Recognition Pen
ECE Computer Engineering Design Project
ECE Computer Engineering Design Project
Fig. 4 Block diagram of system
Ultrasonic Rangefinder
Fig 2: System in action with athlete
Augmented Reality: Internet of Things
ECE Computer Engineering Design Project
 Is a machine that is able to take information (input), do some work on (process), and to make new information (output) COMPUTER.
Creative Media Pre-production Introduction Creative Media GCSE
Presentation transcript:

Depth Analysis With Stereo Camera ECE 492 - Computer Engineering Design Project Depth Analysis With Stereo Camera Timo Hohn and Leo Nickerson 2013 Overview Depth perception is a evolutionary trait that most people take for granted. It has proven to be rather difficult to replicate this trait in computer systems. This project purposes to produce a depth sensing system for computers which could be used in numerous systems. The core components for this project consist of a pair of cameras, a webserver being run on the Altera DE2 board, and a client program run on a secondary device. Depth Finding Program The program used to find the depth is run on a client machine and uses disparity mapping to find the depth of the images. It works in the following way: Obtain images from the webserver being run on the Altera DE2 board Correct any distortion present in the images due to the lenses of the cameras using a barrel distortion. Match pixels using a window based matching algorithm, calculate the disparity value, and color the pixels accordingly Disparity corresponds to the difference in the position of a given object is in the images. The closer together the object is in the images the greater the disparity. Hardware Diagram: Fig. 1 The stereoscopic camera hooked up to the Altera DE2 board Altera Software Process: Results Fig. 2 A unmodified image from the camera Fig. 3 The final image after it has been run through depth finding algorithm For colour ideas, University Visual Identity Guidelines can be found here: http://www.toolkit.ualberta.ca/VisualIdentityGuidelines.aspx Objectives Camera: Able to communicate and control the camera so that pictures are able to be taken and downloaded from the camera. Web Server: The DE2 board is able to be configured to run a webserver that can communicate with and send data to a client Client Program: Able to communicate with and receive data from the web server being run on the board, As well as processing received image data to find image depth. Department of Electrical & Computer Engineering