Model reconstructions with depth information

Kinect Image and Depth Sensor has been widely used by researchers and students as image sensing and acquisition device. Although Kinect was initially designed solely for gaming purposes, it has shown great potential to developers and researchers of possible application beyond its intended purpose....

Full description

Saved in:
Bibliographic Details
Main Author: Lim, Wei Leong.
Other Authors: Tan Eng Leong
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/51068
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-51068
record_format dspace
spelling sg-ntu-dr.10356-510682023-07-07T16:15:43Z Model reconstructions with depth information Lim, Wei Leong. Tan Eng Leong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems Kinect Image and Depth Sensor has been widely used by researchers and students as image sensing and acquisition device. Although Kinect was initially designed solely for gaming purposes, it has shown great potential to developers and researchers of possible application beyond its intended purpose. Although Kinect has been on the market for nearly 2 years and numerous development and research have been done on it, it is still relatively new to an under-graduate such as myself. Therefore, this project focuses on understanding the working principles of Kinect and explores the capabilities of the Xbox 360 Kinect sensor. The project eventually focuses on two aspects of the Kinect sensor, namely RGB image sensor and depth sensor. The project can be broken down into 2 major portions. First, image acquisition is performed using Kinect by utilizing the OpenNI framework and developed using C++ on Microsoft Visual Studio 2008. Then, the collected RGB and depth data will be written into Matlab to perform real-time 3D image reconstruction. Bachelor of Engineering 2013-01-03T06:26:18Z 2013-01-03T06:26:18Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/51068 en Nanyang Technological University 102 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems
Lim, Wei Leong.
Model reconstructions with depth information
description Kinect Image and Depth Sensor has been widely used by researchers and students as image sensing and acquisition device. Although Kinect was initially designed solely for gaming purposes, it has shown great potential to developers and researchers of possible application beyond its intended purpose. Although Kinect has been on the market for nearly 2 years and numerous development and research have been done on it, it is still relatively new to an under-graduate such as myself. Therefore, this project focuses on understanding the working principles of Kinect and explores the capabilities of the Xbox 360 Kinect sensor. The project eventually focuses on two aspects of the Kinect sensor, namely RGB image sensor and depth sensor. The project can be broken down into 2 major portions. First, image acquisition is performed using Kinect by utilizing the OpenNI framework and developed using C++ on Microsoft Visual Studio 2008. Then, the collected RGB and depth data will be written into Matlab to perform real-time 3D image reconstruction.
author2 Tan Eng Leong
author_facet Tan Eng Leong
Lim, Wei Leong.
format Final Year Project
author Lim, Wei Leong.
author_sort Lim, Wei Leong.
title Model reconstructions with depth information
title_short Model reconstructions with depth information
title_full Model reconstructions with depth information
title_fullStr Model reconstructions with depth information
title_full_unstemmed Model reconstructions with depth information
title_sort model reconstructions with depth information
publishDate 2013
url http://hdl.handle.net/10356/51068
_version_ 1772825536121274368