We propose a 3D display simulator based on mixed reality technology. Proposed simulator system calculates light
distribution and crosstalk using parameters required for the design of multi-displays, and projects the light distribution
onto the ground from the top of the viewing zone. Mixed reality merges real and virtual worlds to produce new
environments and visualizations. In this paper, this mixed reality is exploited to simulate multi-view display by merging
physically simulated virtual space and real space where viewers belong to. Projected light distribution is scaled to the
corresponding display size. Thus, the viewer experiences the real light distribution in the real space like living room.
Crosstalk information is also provided through the interaction between a viewer's local position in real space and
calculated virtual space. Our proposed simulator makes it possible to design and measure light distribution finding out
optimized viewing zone without implementing the display in real space.
There is growing interest of displaying 3D images on a smart pad for entertainments and information services. Designing
and realizing various types of 3D displays on the smart pad is not easy for costs and given time. Software simulation can
be an alternative method to save and shorten the development. In this paper, we propose a 3D display simulator for
autostereoscopic smart pad. It simulates light intensity of each view and crosstalk for smart pad display panels.
Designers of 3D display for smart pad can interactively simulate many kinds of autostereoscopic displays interactively
by changing parameters required for panel design. Crosstalk to reduce leakage of one eye's image into the image of the
other eye, and light intensity for computing visual comfort zone are important factors in designing autostereoscopic
display for smart pad. Interaction enables intuitive designs. This paper describes an interactive 3D display simulator for
autostereoscopic smart pad.
KEYWORDS: Holograms, Digital holography, Digital imaging, Feature extraction, Data acquisition, Camera shutters, 3D image processing, Data integration, Holography, Microscopes
Digital holography is a 3D imaging technology that provides phase information. It has been used for microscopy in
many applications as 3D surface recognition, biophotonics and so on. However, it is not easy to obtain accurate
information when objects have right angle shapes and measured vertically. To make ease the condition an object is
rotated to obtain 3D information in trading off some shape view, but if several holograms are taken for the same object
at different views the trade-off information can be reconstructed by topographic compensation. This paper suggests a
method of integrating microscopic holograms using view compensation. View compensation is processed by feature
extraction and object motion compensation.
Communities in biology have developed a number of ontologies that provide standard terminologies for the
characteristics of various concepts and their relationships. However, it is difficult to construct and maintain such
ontologies in biology, since it is a non-trivial task to identify commonly used potential member terms in a particular
ontology, in the presence of constant changes of such terms over time as the research in the field advances. In this paper,
we propose a visualization system, called BioTermViz, which presents the temporal distribution of ontological terms
from the text of published journal abstracts. BioTermViz shows such a temporal distribution of terms for journal
abstracts in the order of published time, occurrences of the annotated Gene Ontology concepts per abstract, and the
ontological hierarchy of the terms. With a combination of these three types of information, we can capture the global
tendency in the use of terms, and identify a particular term or terms to be created, modified, segmented, or removed,
effectively developing biological ontologies in an interactive manner. In order to demonstrate the practical utility of
BioTermViz, we describe several scenarios for the development of an ontology for a specific sub-class of proteins, or
ubiquitin-protein ligases.
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