Tour-into-picture with Kinect

3D graphic is one of the most popular researches in computer graphic, modeling, rendering, and animation. There are various methods in modeling an object or a scene in 3D, but each method has its pros and cons in term of cost, quality and performance. Among those methods, Tour Into the Picture, deve...

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Main Author: Meng, Taing
Other Authors: Zheng Jianmin
Format: Final Year Project
Language:English
Published: 2014
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Online Access:http://hdl.handle.net/10356/58953
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-589532023-03-03T20:51:37Z Tour-into-picture with Kinect Meng, Taing Zheng Jianmin School of Computer Engineering Game Lab DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics 3D graphic is one of the most popular researches in computer graphic, modeling, rendering, and animation. There are various methods in modeling an object or a scene in 3D, but each method has its pros and cons in term of cost, quality and performance. Among those methods, Tour Into the Picture, developed by Y. Horry et al, uses a spidery mesh interface to make animation from a single image. TIP maps a single image with its vanishing point and projection lines through perspective projection into a front-less box. A virtual camera is used to look into the box by rotating and scaling with mouse controls. TIP is fast in performance and simple to model a 3D scene. However, there is a limitation to the images which are not in perspective projection. The foreground objects are flattened or distorted with the background unless manually masked. In this project, we enhanced the Tour-Into-Picture method by introducing Kinect face-tracking to substitute mouse controls. This could provide users more realistic and immersive interaction by looking at a picture from different angles with hand-free experience. Beyond that, we also introduced Tour-Into-the-Video, explored various mapping methods for non-perspective-projection images, and analyzed some automatic foreground and background segmentation algorithms. In conclusion, this project discussed all the possible combinations in computer graphic and computer vision to build on the existing TIP method. Further research may focus on the automation of foreground objects masking and perspective projection line tracing, which requires the least manual configuration. Bachelor of Engineering (Computer Engineering) 2014-04-17T03:07:20Z 2014-04-17T03:07:20Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/58953 en Nanyang Technological University 55 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::Computer graphics
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Meng, Taing
Tour-into-picture with Kinect
description 3D graphic is one of the most popular researches in computer graphic, modeling, rendering, and animation. There are various methods in modeling an object or a scene in 3D, but each method has its pros and cons in term of cost, quality and performance. Among those methods, Tour Into the Picture, developed by Y. Horry et al, uses a spidery mesh interface to make animation from a single image. TIP maps a single image with its vanishing point and projection lines through perspective projection into a front-less box. A virtual camera is used to look into the box by rotating and scaling with mouse controls. TIP is fast in performance and simple to model a 3D scene. However, there is a limitation to the images which are not in perspective projection. The foreground objects are flattened or distorted with the background unless manually masked. In this project, we enhanced the Tour-Into-Picture method by introducing Kinect face-tracking to substitute mouse controls. This could provide users more realistic and immersive interaction by looking at a picture from different angles with hand-free experience. Beyond that, we also introduced Tour-Into-the-Video, explored various mapping methods for non-perspective-projection images, and analyzed some automatic foreground and background segmentation algorithms. In conclusion, this project discussed all the possible combinations in computer graphic and computer vision to build on the existing TIP method. Further research may focus on the automation of foreground objects masking and perspective projection line tracing, which requires the least manual configuration.
author2 Zheng Jianmin
author_facet Zheng Jianmin
Meng, Taing
format Final Year Project
author Meng, Taing
author_sort Meng, Taing
title Tour-into-picture with Kinect
title_short Tour-into-picture with Kinect
title_full Tour-into-picture with Kinect
title_fullStr Tour-into-picture with Kinect
title_full_unstemmed Tour-into-picture with Kinect
title_sort tour-into-picture with kinect
publishDate 2014
url http://hdl.handle.net/10356/58953
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