Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd the perception of the visual world to read.

The Perception of the Visual World. By James J. Gibson. U.S.A.: Houghton Mifflin Company, 1950 (George Allen & Unwin, Ltd., London). Price 35s.

This paper surveys the current state-of-the-art of technology, systems and applications in Augmented Reality. It describes work performed by many different research groups, the purpose behind each new Augmented Reality system, and the difficulties and problems encountered when building some Augmented Reality applications. It surveys mobile augmented reality systems challenges and requirements for successful mobile systems. This paper summarizes the current applications of Augmented Reality and speculates on future applications and where current research will lead Augmented Reality's development. Challenges augmented reality is facing in each of these applications to go from the laboratories to the industry, as well as the future challenges we can forecast are also discussed in this paper. Section 1 gives an introduction to what Augmented Reality is and the motivations for developing this technology. Section 2 discusses Augmented Reality Technologies with computer vision methods, AR devices, interfaces and systems, and visualization tools. The mobile and wireless systems for Augmented Reality are discussed in Section 3. Four classes of current applications that have been explored are described in Section 4. These applications were chosen as they are the most famous type of applications encountered when researching AR apps. The future of augmented reality and the challenges they will be facing are discussed in Section 5.

Augmented reality technologies, systems and applications

The demand for various multimedia applications is rapidly increasing due to the recent advance in the computing and network infrastructure, together with the widespread use of digital video technology. Among the key elements for the success of these applications is how to effectively and efficiently manage and store a huge amount of audio visual information, while at the same time providing user-friendly access to the stored data. This has fueled a quickly evolving research area known as video abstraction. As the name implies, video abstraction is a mechanism for generating a short summary of a video, which can either be a sequence of stationary images (keyframes) or moving images (video skims). In terms of browsing and navigation, a good video abstract will enable the user to gain maximum information about the target video sequence in a specified time constraint or sufficient information in the minimum time. Over past years, various ideas and techniques have been proposed towards the effective abstraction of video contents. The purpose of this article is to provide a systematic classification of these works. We identify and detail, for each approach, the underlying components and how they are addressed in specific works.

Video abstraction: A systematic review and classification

We propose a novel and simple fast block-matching algorithm (BMA), called adaptive rood pattern search (ARPS), which consists of two sequential search stages: (1) initial search and (2) refined local search. For each macroblock (MB), the initial search is performed only once at the beginning in order to find a good starting point for the follow-up refined local search. By doing so, unnecessary intermediate search and the risk of being trapped into local minimum matching error points could be greatly reduced in long search case. For the initial search stage, an adaptive rood pattern (ARP) is proposed, and the ARP's size is dynamically determined for each MB, based on the available motion vectors (MVs) of the neighboring MBs. In the refined local search stage, a unit-size rood pattern (URP) is exploited repeatedly, and unrestrictedly, until the final MV is found. To further speed up the search, zero-motion prejudgment (ZMP) is incorporated in our method, which is particularly beneficial to those video sequences containing small motion contents. Extensive experiments conducted based on the MPEG-4 Verification Model (VM) encoding platform show that the search speed of our proposed ARPS-ZMP is about two to three times faster than that of the diamond search (DS), and our method even achieves higher peak signal-to-noise ratio (PSNR) particularly for those video sequences containing large and/or complex motion contents.

Adaptive rood pattern search for fast block-matching motion estimation

http://staff.computing.dundee.ac.uk/jgzhang/publications/zhang_pr02.pdf

Brief review of invariant texture analysis methods

Undisturbed interaction is essential to provide immersive AR environments. There have been a lot of approaches to interact with VEs (virtual environments) so far, especially in hand metaphor. When the userpsilas hands are being used for hand-based work such as maintenance and repair, necessity of alternative interaction technique has arisen. In recent research, hands-free gaze information is adopted to AR to perform original actions in concurrence with interaction. [3, 4]. There has been little progress on that research, still at a pilot study in a laboratory setting. In this paper, we introduce such a simple WARS (wearable augmented reality system) equipped with an HMD, scene camera, eye tracker. We propose dasiaAgingpsila technique improving traditional dwell-time selection, demonstrate AR gallery - dynamic exhibition space with wearable system.

Wearable augmented reality system using gaze interaction

In this paper, we present a new motion estimation algorithm which determines an initial motion vector and a search window adaptively in video codecs which code and transmit data in a block scan order. The proposed method is based on the motion information of spatio-temporal neighboring blocks. In predicting the motion, a temporal projection technique is introduced in the determination of an initial vector, and then the search window size to refine the initial vector is determined by the correlation between neighboring blocks. With a small amount of computation during motion estimation, the proposed algorithm can estimate the motion of fast moving object. Experimental results of the proposed method show significantly improved performance in image quality and the computational complexity.

Adaptive motion estimation based on spatio-temporal correlation

An efficient method to build panoramic image mosaics

The images captured by real cameras often suffer from lens distortion which is a nonlinear and radial distortion. In this work, we present a method to correct the radial distortion caused by camera lens. In particular, we discuss a framework to determine distortion vectors and distortion function directly without employing approximation approach which often causes incorrect warping problem. The proposed framework is entirely non-iterative, and therefore is computationally efficient. We also compute the center of distortion, which is important to obtain optimal results. The accuracy and robustness of the proposed system are verified on the experimental results of several indoor and outdoor images.

Correction of radial distortion using a planar checkerboard pattern and its image

In this paper, we discuss an interactive optical see-through head-mounted device (HMD) which makes use of a user's gaze for an augmented reality (AR) interface. In particular, we propose a method to employ a user's half-blink information for more efficient interaction. Since the interaction is achieved using a user's gaze and half-blinks, the proposed system can create a more efficient computing environment. In addition, the proposed system can be quite helpful to those who have difficulties in using their hands for conventional interaction methods. The experimental results present the robustness and efficiency of the proposed system.

Jong-Soo Choi

Papers

Wearable augmented reality system using gaze interaction

Adaptive motion estimation based on spatio-temporal correlation

An efficient method to build panoramic image mosaics

Correction of radial distortion using a planar checkerboard pattern and its image

Design and implementation of an augmented reality system using gaze interaction