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Emergency can arise due to disaster caused by a technology or natural process. Emergency response needs rapid decisions in short time. In the circumstances of an emergency the normal channels of autho...
The explosive growing of earth observing data needs to have relative efficient data processing methods. This paper aims at the processing and analysis of large volume of vector field data acquiring fr...
This paper discusses image-based modelling and the generation of textured 3D object models. The main focus of the presentation is upon a low-cost, easy-to-use photogrammetric system which can handle...
We present a sequential multi-stage segment-based modelling from images procedure designed to model the fine geometric details with high-resolution meshes. Results from one stage guide the next stage....
The current study concentrates to figure out how orderliness emerges possibly in the mind. A research emulation with random data was usable for generation of the hypothesis. The resulted hypothesis as...
As medical data continues to transition to electronic formats, opportunities arise for researchers to use this microdata to discover patterns and increase knowledge that can improve patient care. Now ...
This paper describes a purely geometrical approach for matching and chaining edgels, i.e. contours points with their tangent direction, to reconstruct in a general way 3D rectilinear or curved surfac...
High defect rates are associated with novel nanodevice-based systems owing to unconventional and self-assembly based manufacturing processes. Furthermore, in emerging nanosystems, fault mechanisms and...
In this contribution the complexity of the vertical vegetation structure, based on dense airborne laser scanning (ALS) point cloud data (25 echoes/m2 ), is analyzed to calculate vegetation roughness f...
Camera motion analysis (CMA) is very useful for many video content analysis tasks, but few works competently handle the videos with significant camera or object motion. In this paper, we present an e...
Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL) methods have shown great advantages in vis...
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been proposed in the literature ...
Among approaches in implementing Digital Rights Management, image fingerprinting technique is considered to be one of the most attractive solutions, especially in detecting illegal use of image works...
Background subtraction is a widely used method for moving object detection in computer vision. It is usually applied in video surveillance systems. There are two major kinds of background subtraction...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...

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