3D reconstruction using dense stereo correspondence (Record no. 64)

MARC details
000 -LEADER
fixed length control field 03653nas|a2200433 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817161131.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 091112s2009 th uu|m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12070361
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.CS-09-04
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hussain, Akhtar
245 10 - TITLE STATEMENT
Title 3D reconstruction using dense stereo correspondence
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent 27 p. :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Research studies project report ;
Volume/sequential designation no. CS-09-04
500 ## - GENERAL NOTE
General note Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 2009
520 ## - SUMMARY, ETC.
Summary, etc. Nowadays, robots can perform many tasks. One of their potential tasks is to bin picking and part placement. Now many industries could use robots to perform bin picking, to saves time and money. To perform the difficult task of picking the objects from a bin, first robot needs to recognize particular objects. For recognition of the objects a 3D model beneficial, for that purpose, people use many methods; some people use CAD software to create 3D models, but this is very costly and time consuming. some people are now using computer vision techniques, which are very cheap compared to human labor and more expensive sensors such as lasers. So in this research study I use stereo vision-based system to reconstruct a 3D model of objects. Stereo vision can help the robot to estimate depth of objects. If correct depth information is known then a 3D model of the object can be reconstructed correctly. There are two kinds of stereo vision methods, useful for reconstructing 3D model of the objects. Here I used dense stereo correspondence which is more accurate and detailed than sparse correspondence methods. I use the dynamic programming method in OpenCV to create disparity map and then extract one object and make depth map of that object. From the depth map I generated a 3D point cloud. After that, in the future work I will apply 2D Delaunay triangulation to create a 3D mesh and visualize the object using OpenGL or any other tool. If the reconstructed 3D model is correct, the robot will recognize the object and grasp it correctly.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Three-dimensional imaging
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robot vision
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dailey, Mathew N.,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Afzulpurkar, Nitin V.,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sumanta, Guha,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Higher Education Commission (HEC), Pakistan-Asian Institute of Technology Fellowship,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Research studies project report ;
Volume/sequential designation no. CS-09-04
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B01286">http://203.159.5.9/ait-thesis/detail.php?q=B01286</a>
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a .b12070361
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a 240329
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 091112
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120615629
CREATED CREATED : 2009-12-11
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CREATED CREATED : 2016-03-31
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT RSPR no.CS-09-04 30050120615629 17/08/2026 1 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT RSPR no.CS-09-04 30050120615611 17/08/2026 2 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT RSPR no.CS-09-04 30050120239453 17/08/2026 1 17/08/2026 40-Archives
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