ARToolKit

The camera tracking is particularly useful for Virtual and Augmented Reality systems because tracked objects may serve as interaction devices in 3D scenes. Real object representations are built from the optical tracking of real object projections on photosensor arrays. Cameras as tracking devices have the advantage of not having mechanical contact. However, their effective application requires the knowledge of the main parameters and features involved in the tracking process. This chapter is a very short ...

Recently, some simulation systems of the building using Augmented Rarity (AR) have been proposed. In these systems, these are separated by interior simulation systems and exterior simulation systems, and two systems are independent respectively. Therefore, in performing the synthetic simulation of the buildings, the unification of two systems is required. In this paper, to satisfy a demand, we propose a system which seamlessly transfer between interior and exterior by expanding and shrinking AR object of the building. Thereby, we attempt to construct the intuitive and seamless synthetic system of the interior and exterior in a building. By the proposed system, we expect that we can intuitively and seamless simulate the synthetic simulation system of the building comparing with conventional simulation systems.

We created an augmented reality platform for spatial exploration that recognizes buildings facades and displays various multimedia for different time points. In order to provide the user with the best user experience fast recognition and stable tracking are the key elements of any augmented reality app. In an outdoor environment, lighting, reflective surfaces and occlusion can drastically affect the user experience. In a setup where these conditions are similar, marker creation methodology and the app parameters are key. In this paper we focus on resizing the photo prior marker creating and the importance of camera calibration and resolution and their effect on the recognition speed and quality of tracking outdoor objects.

Perkembangan teknologi image processing mengalami kemajuan yang pesat. Penerapan teknologi tersebut merambah berbagai bidang. Kamera digunakan untuk menangkap suatu gambar atau suatu kejadian. Gambar atau kejadian yang telah ditangkap oleh kamera memiliki informasi. Informasi tersebut kemudian diolah melalui media computer dengan bantuan perangkat lunak sehingga dapat digunakan untuk membantu manusia melakukan kegiatan yang spesifik. Sepeti halnya pengolahan video untuk membuat film. Sekitar pada tahun 1996, anda mungkin masih ingat dengan film anak anak yang berjudul “Space Jam” yang mana film tersebut adalah hasil penggabungan antara objek nyata yang diperankan oleh pemain basket Michael Jordan dan tokoh animasi “Looney Tones” seperti Bugs Bunny, Tweety, Silvester Cat dan lainnya. Pada tahun 1997, Azuma menggagaskan adanya penggabungan antara suatu objek nyata dengan objek virtual yang memiliki bentuk 3 Dimensi (3D) dengan lingkungan luar yang nyata secara real-time yang saat ini ...

Although the use of Augmented Reality (AR) in many types of applications for training, education and other areas is well known many institutions that offer courses in Information Technology, Computer Science or others in the same field still do not have significant classes exploring the potential of AR. This work proposes and describes the partial implementation of  an introductory class on AR using its features, i.e.,  superimposed text and 3-D objects over the real world scene, fiducial marker tracking and user interaction to demonstrate concepts and practical issues found in AR system development. Therefore, turning the learning experience much more effective than a theoretical based regular class. The software also enables teachers to introduce AR to theirs students without the need of much expertise or time spending preparing the lesson.

Septic tanks, sewage effluents, and landfills can release microbial pathogens into groundwater. This problem is amplified in the so-called colonias along the U.S.-Mexico border and other low-income areas around the world that have no public sewage systems. The result is often outbreaks of groundwater-associated disease for which enteric viruses and bacteria, spread via a fecal-oral route, are responsible. However, due to difficulties and limitations in detection and surveillance of disease outbreaks, the causative agents for more than 50% of the outbreaks are unknown, though the clinical features suggest a viral etiology for most of those cases [U.S. Centers for Disease Control and Prevention, 1993]. Enteric pathogens such as E coli 0157:H7, Campylobacter, Enteroviruses, Hepatitis A virus, and caliciviruses have been responsible for groundwater-related microbial infections in humans. Inexpensive solutions to this problem are urgently needed. The recent threat of bio-terrorism and concerns about the safety of drinking water supplies further add to that urgency.

Perkembangan teknologi image processing mengalami kemajuan yang pesat. Penerapan teknologi tersebut merambah berbagai bidang. Kamera digunakan untuk menangkap suatu gambar atau suatu kejadian. Gambar atau kejadian yang telah ditangkap oleh kamera memiliki informasi. Informasi tersebut kemudian diolah melalui media computer dengan bantuan perangkat lunak sehingga dapat digunakan untuk membantu manusia melakukan kegiatan yang spesifik. Sepeti halnya pengolahan video untuk membuat film. Sekitar pada tahun 1996, anda mungkin masih ingat dengan film anak anak yang berjudul “Space Jam” yang mana film tersebut adalah hasil penggabungan antara objek nyata yang diperankan oleh pemain basket Michael Jordan dan tokoh animasi “Looney Tones” seperti Bugs Bunny, Tweety, Silvester Cat dan lainnya. Pada tahun 1997, Azuma menggagaskan adanya penggabungan antara suatu objek nyata dengan objek virtual yang memiliki bentuk 3 Dimensi (3D) dengan lingkungan luar yang nyata secara real-time yang saat ini ...

Measuring how difficult access is for people is important in order to achieve inclusive access for all. One practical and effective way of measuring difficulty in people's access is to track how they move around in a given environment. However, systems for tracking people are often costly and complicated to use. This article concerns the development and application of a low cost computer vision-based tracking system called MoRe-T2 (mobility research trajectory tracker). MoRe-T2 can be used to quickly characterize the trajectories people make under different conditions (e.g. when using a wheelchair, exiting through a train's sliding doors, approaching a ramp or moving through crowded environments). A MoRe-T2 system uses video cameras such as a webcam to track the pose of QR-code-like markers. MoRe-T2 markers enable orientation as an extra level of tracking information and they uniquely identify many participants. Both of these features of a marker are unavailable in markers of more standard techniques for video tracking like 'blob' detection (i.e. simply tracking a blob of a certain colour for example). These markers can be simply printed onto paper and can then be attached to people or assistive technologies, such as a wheelchair and a scooter. The MoRe-T2 cameras are time-synchronized and are mounted so that at any given time every marker in the experiment area is visible to at least one camera. In a simple process, the cameras' positions can be sufficiently estimated automatically using a single marker. Videos of the scene are recorded and afterwards, the recorded videos are processed with the cameras' estimated position using software called ARToolkitPlus library. This software calculates the position and orientation of markers with respect to the cameras. The end result is a detailed map describing the time-locked trajectories plotted on a 3D time independent plane.