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...
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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 |
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English |
| topic |
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
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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 |