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Enhanced Augmented Reality framework...

Mahmood, Zahid.

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Enhanced Augmented Reality framework for sports entertainment applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Enhanced Augmented Reality framework for sports entertainment applications./
作者:	Mahmood, Zahid.
面頁冊數:	75 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
Contained By:	Dissertation Abstracts International77-05B(E).
標題:	Computer engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3744327
ISBN:	9781339371054

Enhanced Augmented Reality framework for sports entertainment applications.
Mahmood, Zahid.

Enhanced Augmented Reality framework for sports entertainment applications. - 75 p.

Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.

Thesis (Ph.D.)--North Dakota State University, 2015.

Augmented Reality (AR) superimposes virtual information on real-world data, such as displaying useful information on videos/images of a scene. This dissertation presents an Enhanced AR (EAR) framework for displaying useful information on images of a sports game. The challenge in such applications is robust object detection and recognition. This is even more challenging when there is strong sunlight. We address the phenomenon where a captured image is degraded by strong sunlight.

ISBN: 9781339371054Subjects--Topical Terms:

621879
Computer engineering.

Enhanced Augmented Reality framework for sports entertainment applications.
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245 1 0 $a Enhanced Augmented Reality framework for sports entertainment applications.
300 $a 75 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
500 $a Adviser: Samee U. Khan.
502 $a Thesis (Ph.D.)--North Dakota State University, 2015.
520 $a Augmented Reality (AR) superimposes virtual information on real-world data, such as displaying useful information on videos/images of a scene. This dissertation presents an Enhanced AR (EAR) framework for displaying useful information on images of a sports game. The challenge in such applications is robust object detection and recognition. This is even more challenging when there is strong sunlight. We address the phenomenon where a captured image is degraded by strong sunlight.
520 $a The developed framework consists of an image enhancement technique to improve the accuracy of subsequent player and face detection. The image enhancement is followed by player detection, face detection, recognition of players, and display of personal information of players. First, an algorithm based on Multi-Scale Retinex (MSR) is proposed for image enhancement. For the tasks of player and face detection, we use adaptive boosting algorithm with Haar-like features for both feature selection and classification. The player face recognition algorithm uses adaptive boosting with the LDA for feature selection and nearest neighbor classifier for classification. The framework can be deployed in any sports where a viewer captures images. Display of players-specific information enhances the end-user experience. Detailed experiments are performed on 2096 diverse images captured using a digital camera and smartphone. The images contain players in different poses, expressions, and illuminations. Player face recognition module requires players faces to be frontal or up to +/-35° of pose variation. The work demonstrates the great potential of computer vision based approaches for future development of AR applications.
590 $a School code: 0157.
650 4 $a Computer engineering. $3 621879
650 4 $a Electrical engineering. $3 649834
650 4 $a Multimedia communications. $3 590562
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710 2 $a North Dakota State University. $b Electrical and Computer Engineering. $3 2095311
773 0 $t Dissertation Abstracts International $g 77-05B(E).
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791 $a Ph.D.
792 $a 2015
793 $a English
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