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3D object pose detection from image

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Nội dung chi tiết: 3D object pose detection from image

3D object pose detection from image

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

3D object pose detection from image ECT POSE DETECTION FROM IMAGEMajor: Computer ScienceCouncil:COMPUTER SCIENCE 02Supervisor: Dr. NGUYEN DUC DUNG Reviewer: Msc. LUU QUANG HUAN —0O0—Stud

ent:BUI VIET MINH QUAN (1710259)HO CHI MINH CITY. 08/2021DeclarationWe hereby declare that this thesis titled *3D OBJECT POSE DETECTION FROM IMAGE' an 3D object pose detection from image

d the work presented in it are our own. We confirm that:•This work was done wholly or mainly while in candidature for a degree at this University.•Whe

3D object pose detection from image

re any part of this thesis has previously been submitted for a degree or any other qualification al this University or any other institution, this has

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

3D object pose detection from image thers, the source is always given. With the exception of such quotations, this thesis is entirely our own work.•We have acknowledged all main sources

of help.•Where the thesis is based on work done by ourselves jointly with others, we have made Clear exactly what was done by others and what we have 3D object pose detection from image

contributed ourselves..Acknow ledgnientsFirst of all. we would like to express our greatest respect and gratitude to our supervisors. Dr. Nguyen Due D

3D object pose detection from image

ung and Dr. Pham Hoang Anh lor their profound trust, support and guidance. ■Riey have spent so much time helping US revise this work rigorously. Furth

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

3D object pose detection from image uch in our work. We surely could not complete this thesis without them.I’hank our beloved colleagues, friends and all the people who have encouraged U

S during this Stage of our life. Thank IICMC University of Technology and the Faculty of Computer Science and Engineering for giving US this wonderful 3D object pose detection from image

experience.AbstractMonocular 3D object detection has recently become prevalent in autonomous driving and navigation applications due to its cost-effi

3D object pose detection from image

ciency and easy-to-embed to existent vehicles. The most challenging task in monocular vision is to estimate a reliable object’s location cause of the

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

3D object pose detection from image a supplement input to enhance the model’s results. However, the performance relies heavily on the estimated depth map quality, which is bias to the t

raining data. In this work, we propose depth-adaptive convolution to replace the traditional 2D convolution to deal with the divergent context of the 3D object pose detection from image

image’s features. This lead to significant improvement in both training convergence and testing accuracy. Second, we propose a ground plane model that

3D object pose detection from image

utilizes geometric constraints in the pose estimation process. With the new method, named GAC3D. we achieve better detection results. We demonstrate

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

3D object pose detection from image much faster than many state-of-the-art methods and enables real-time inference.Table of contents1Introduction11.1Introduction........................

...................................... 12Background knowledge42.1Input Sensors............................................................. 42.1.1LiDA 3D object pose detection from image

R............................................................. 42.1.2Camera............................................................ 42.2Camera Mod

3D object pose detection from image

el ............................................................. 52.2.1The Perspective ProjectionMatrix................................. 72.2.2The Int

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

3D object pose detection from image xtraction................................................ 92.3.2Regional Proposal ................................................ 9

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY FACULTY OF COMPUTER SCIENCE & ENGINEERINGGRADUATE THESIS3D OBJE

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