Browsing by Author "Chiu, Pei-Hsuan"
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Item type:Item, Cloud Computing Based Mobile Augmented Reality Interactive System(2014) ;Chiu, Pei-Hsuan ;Tseng, Po-Hsuan ;Feng, Kai-Ten ;電機工程學系Department of Electrical and Computer EngineeringAugmented reality (AR) technology is mainly composed of feature extraction, feature points matching and 3-D object drawing to impose virtual information onto the real camera. Hand tracking method is designed to realize interactive AR system to further enhance user experience (UX). However, feature extraction, feature points matching, and hand tracking all require high computational cost. To achieve real-time implementation on mobile, we proposed a Mobile Augmented ReAlity Interactive System based on cloud computing (MARAIS). Cloud side is responsible for heavy tasks that need sufficient computational capabilities, and device side performs sensing, detecting and displaying. Device/cloud architecture has been designed to maintain tolerable processing delay with minimum communication overhead. To validate the suitability for real-time interaction, MARAIS is combined with a picture book to realize a digital learning system. Implementation of interactive AR system based on cloud computing eases the requirement of data storage, memory, and computational power at device side.Item type:Item, DEMO PAPER: PARTICLE-BASED AUGMENTED REALITY INTERACTIVE SYSTEM(2013) ;Chiu, Pei-Hsuan ;Feng, Kai-Ten ;Tseng, Po-Hsuan ;電機資訊學士班Undergraduate Honors Program of Electrical Engineering and Computer ScienceWith enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). AR is to impose virtual information onto the real camera view of mobile platforms. In this demonstration, a particle-based augmented reality interactive system (PARIS) is designed to provide interactive AR for enhanced UX. The proposed PARIS consists of two parts, including the markerless pattern recognition (MPR) enabling the projection of recognized 3-D objects onto the real camera view and particle filter based hand tracking algorithms to provide interaction with the 3-D objects. Implementation of PARIS is realized on Android-based mobile platforms, where low computational complexity has been observed for real-time interaction.Item type:Item, Interactive Mobile Augmented Reality System for Image and Hand Motion Tracking(2018-10-01) ;Chiu, Pei-Hsuan ;Tseng, Po-Hsuan ;Feng, Kai-Ten ;電機工程學系Department of Electrical and Computer EngineeringIn recent years, augmented reality (AR) is considered a promising technology that combines virtual information such as videos, images, and three-dimensional objects with a real camera view in mobile platforms. Interactive AR further provides human-computer interaction to allow the user to interact with virtual objects on the mobile display. In this paper, we proposed a cloud-based mobile augmented reality interactive system (MARIS), which includes MARIS-I for image target tracking and MARIS-H for hand motion tracking. MARIS-I estimates the position of the image target by adopting a feature-based mean-shift algorithm, which is feasible for real-time applications with its small region feature detection. MARIS-H provides two tracking modes for fingertip and hack of hand tracking to enhance user experiences (UX) for interaction. Either the center position for the back of hand or fingertip is first estimated by particle filtering technique, which calculates the weighting of each particle according to hand or fingertip model. Afterward, the contour of the fingertip is estimated by level-set-based contour evolution in the fingertip tracking mode. Furthermore, we implement a device/cloud architecture for the proposed MARIS to decrease memory requirement and computational complexity on the device side. Experimental results show that MARIS including MARIS-I and MARIS-H can outperform other existing methods for image and hand motion tracking, respectively. The proposed MARIS is demonstrated in a picture book to provide fruitful interactive UX for digital learning systems.