Bewertungssystem für 3D-VR-Fabrikplanungssysteme/Evaluation system for 3D VR factory planning systems

Für die digitale 3D-VR-Fabrikplanung sind unterschiedliche Soft- und Hardwaresysteme am Markt verfügbar, die teilweise erhebliche Kompatibilitätsprobleme aufweisen. Für die Bewertung der Hardwareeignung für die 3D-VR-Fabrikplanung wird ein Bewertungssystem vorgestellt, das anhand konkreter Softwareapplikationen und einem passiven 3D-Stereo-Monitor mit Head-Tracking erläutert wird. Es wird dazu auch die Notwendigkeit des Einsatzes von Software-Middleware zur Nutzungssteigerung diskutiert.   Different software and hardware systems are available on the market for digital 3D VR factory planning, some of which have considerable compatibility problems. For the evaluation of hardware suitability for 3D VR factory planning, an evaluation system is presented that is explained using concrete software applications and a passive 3D stereo display with head tracking. The necessity of using software middleware to enhance usage is also discussed.

Aligning Realities: Correlating Content between Projected and Head Worn Displays

Enabling the effective representation of an object’s position and depth in augmented reality (AR) is crucial not just for realism, but also to enable augmented reality’s wider utilization in real world applications. Domains such as architecture and building design cannot leverage AR’s advantages without the effective representation of position. Prior work has examined how the human visual system perceives and interprets such cues in AR. However, it has focused on application systems that only use a single AR modality, i.e., head-mounted display, tablet/handheld, or projection. However, given the respective limitations of each modality regarding shared experience, stereo display, field of view, etc., prior work has ignored the possible benefits of utilizing multiple AR modalities together. By using multiple AR systems together, we can attempt to address the deficiencies of one modality by leveraging the features of other modalities. This work examines methods for representing position in a multi-modal AR system consisting of a stereo head-mounted display and a ceiling mounted projection system. Given that the AR content is now rendered across two separate AR realities, how does the user know which projected object matches the object shown in their head-mounted display? We explore representations to correlate and fuse objects across modalities. In this paper, we review previous work on position and depth in AR, before then describing multiple representations for head-mounted and projector-based AR that can be paired together across modalities. To the authors’ knowledge, this work represents the first step towards utilizing multiple AR modalities in which the AR content is designed directly to compliment deficiencies in the other modality.

Incoherent light control through scattering media based on machine learning and its application to multiview stereo displays

In this paper, we present a method for controlling incoherent light through scattering media based on machine learning and its potential application to multiview stereo displays. The inverse function between input and output light intensity patterns through a scattering medium is regressed with a machine learning algorithm. The inverse function is used for calculating an input pattern for generating a target output pattern through a scattering medium. We demonstrate the proposed method by assuming a potential application to multiview stereo displays. This concept enables us to use a diffuser as a parallax barrier, a cylindrical lens array, or a lens array on a conventional multiview stereo display, which will contribute to a low-cost, highly functional display. A neural network is trained with a large number of pairs of displayed random patterns and their parallax images at different observation points, and then a displayed image is calculated from arbitrary parallax images using the trained neural network. In the experimental demonstration, the scattering-based multiview stereo display was composed of a diffuser and a conventional liquid crystal display, and it reproduced different handwritten characters, which were captured by a stereo camera.