Multispectral object detection using 3D models cascade and region mutual information

The visual appearance of an object under natural lighting depends on its surface reflectance. However, there are situations when objects are to be viewed under non-visible light. Under such circumstances where reflectance information is not available, it is infeasible to use existing appearance-base...

Full description

Saved in:
Bibliographic Details
Main Author: Pong, Hon Keat.
Other Authors: Cham, Tat Jen
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13604
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13604
record_format dspace
spelling sg-ntu-dr.10356-136042023-03-04T00:31:26Z Multispectral object detection using 3D models cascade and region mutual information Pong, Hon Keat. Cham, Tat Jen School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The visual appearance of an object under natural lighting depends on its surface reflectance. However, there are situations when objects are to be viewed under non-visible light. Under such circumstances where reflectance information is not available, it is infeasible to use existing appearance-based object models which are based on surface reflectance. This thesis presents methods for detecting object instances within images, with efforts directed at developing methods that do not assume prior knowledge about reflectance information. We adopt the model based approach, in which a 3D model is used for detection by aligning it to image. An algorithm to speed up detection is also presented. Master of Philosophy (SCE) 2008-08-21T09:04:41Z 2008-10-20T09:58:21Z 2008-08-21T09:04:41Z 2008-10-20T09:58:21Z 2008 2008 Thesis http://hdl.handle.net/10356/13604 en 114 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::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Pong, Hon Keat.
Multispectral object detection using 3D models cascade and region mutual information
description The visual appearance of an object under natural lighting depends on its surface reflectance. However, there are situations when objects are to be viewed under non-visible light. Under such circumstances where reflectance information is not available, it is infeasible to use existing appearance-based object models which are based on surface reflectance. This thesis presents methods for detecting object instances within images, with efforts directed at developing methods that do not assume prior knowledge about reflectance information. We adopt the model based approach, in which a 3D model is used for detection by aligning it to image. An algorithm to speed up detection is also presented.
author2 Cham, Tat Jen
author_facet Cham, Tat Jen
Pong, Hon Keat.
format Theses and Dissertations
author Pong, Hon Keat.
author_sort Pong, Hon Keat.
title Multispectral object detection using 3D models cascade and region mutual information
title_short Multispectral object detection using 3D models cascade and region mutual information
title_full Multispectral object detection using 3D models cascade and region mutual information
title_fullStr Multispectral object detection using 3D models cascade and region mutual information
title_full_unstemmed Multispectral object detection using 3D models cascade and region mutual information
title_sort multispectral object detection using 3d models cascade and region mutual information
publishDate 2008
url http://hdl.handle.net/10356/13604
_version_ 1759855517637804032