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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Pong, Hon Keat.
مؤلفون آخرون: Cham, Tat Jen
التنسيق: Theses and Dissertations
اللغة:English
منشور في: 2008
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/13604
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
اللغة: English
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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
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