An automatic geometrical calibration approach has been developed to calibrate a multiprojector-type light field (LF) display automatically and accurately. The calibration framework based on image mapping is detailed, which transfers the calibration of three-dimensional (3-D) scene into the calibration of two-dimensional image in the diffuser interface. A multiprojectors-type LF display prototype is applied to implement the experimental calibration. Comparison results of the reconstructed 3-D scene before and after calibration show that a better overall performance is obtained through the proposed calibration approach.
A scalable system to achieve large-sized light field three-dimensional display using multi-projectors and directional diffuser is presented. The system mainly employs an array of mini-projectors projecting images onto a special cylindrical directional diffuser screen. The principle of light field reconstruction, configuration of multi-projectors style, and characteristics of directional diffuser are explicitly analyzed, respectively. A prototype of a piece of equipment in mini-cinema class is proposed, with 100 mini-projectors and a special cylindrical directional diffuser performing different diffuse angles in horizontal and vertical directions. Bright and large-sized three-dimensional images displayed by the system can be observed at different horizontal viewing positions around the cylindrical display area with stereo parallax and motion parallax.
KEYWORDS: Image processing, Remote sensing, Image registration, Adaptive optics, Data modeling, Data fusion, Data processing, Digital imaging, Composites, Earthquakes
As remote sensing technology become ever more powerful with multi-platform and multi-sensor, it has been widely
recognized for contributing to geospatial information efforts. Because the remotely sensed image processing demands
large-scale, collaborative processing and massive storage capabilities to satisfy the increasing demands of various
applications, the effect and efficiency of the remotely sensed image processing is far from the user's expectation. The
emergence of Service Oriented Architecture (SOA) may make this challenge manageable. It encapsulate all processing
function into services and recombine them with service chain. The service composition on demand has become a hot
topic. Aiming at the success rate, quality and efficiency of processing service composition for remote sensing
application, a remote sensed image processing service composition method is proposed in this paper. It composes
services for a user requirement through two steps: 1) dynamically constructs a complete service dependency graph for
user requirement on-line; 2) AO* based heuristic searches for optimal valid path in service dependency graph. These
services within the service dependency graph are considered relevant to the specific request, instead of overall registered
services. The second step, heuristic search is a promising approach for automated planning. Starting with the initial state,
AO* uses a heuristic function to select states until the user requirement is reached. Experimental results show that this
method has a good performance even the repository has a large number of processing services.
Aiming at various (near) real-time on-demand services, this paper puts forward the concept of focused geospatial
information services with three kinds of service patterns to aggregate and cooperate with all kinds of information
services, including the geospatial data services, geospatial processing services, transport network services and sensor
services. The challenge of focused geospatial information service is complex in user demand, rich in data dimension,
diversified in sensor type, complicated in processing and time-varying in network, which makes intricate in semantics. A
hierarchical constraint model is therefore proposed as a uniform semantics description model with four levels including
user semantic constraints, data semantic constraints, processing services functional semantic constraint and process
service quality semantic constraints. The constraints act role of establishing the connection between user semantics and
data services and processing services, and of basic of semantic reasoning in service discovery, selection, and
composition.
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