Salient region detection is a challenge problem in computer vision, which is useful in image segmentation, region-based image retrieval, and so on. In this paper we present a multi-resolution salient region detection method in frequency domain which can highlight salient regions with well-defined boundaries of object. The original image is sub-sampled into three multi-resolution layers, and for...

This paper describes a method to automatically construct a 3D geometric model of an urban area by merging features extracted from a cadastral map of the area and from the corresponding digital elevation model (Dem). The cadastral map and the Dem are both transformed into two sets of contour segments: The segments extracted from the map represent contours of buildings and blocks of buildings, wh...

This paper describes the participation of GIRSA at GeoCLEF 2008, the geographic information retrieval task at CLEF. GIRSA combines information retrieval (IR) on geographically annotated data and question answering (QA) employing query decomposition. For the monolingual German experiments, several parameter settings were varied: using a single index or separate indexes for content and geographic...

© 2014 Yun-Won Choi et al. 913 http://dx.doi.org/10.4218/etrij.14.0114.0584 This paper proposes a global mapping algorithm for multiple robots from an omnidirectional-vision simultaneous localization and mapping (SLAM) approach based on an object extraction method using Lucas– Kanade optical flow motion detection and images obtained through fisheye lenses mounted on robots. The multi-robot mapp...

Segregation distortion is a widespread phenomenon in plant and animal genomes and significantly affects linkage map construction and identification of quantitative trait loci (QTLs). To study segregation distortion in wheat, a high-density consensus map was constructed using single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) markers by merging two genetic maps developed from ...

This paper deals with the problem of merging descriptions of approximate spatial location specified at different levels of granularity. We distinguish between the roughness of an approximation at a given level of granularity and the indeterminacy that arises when approximations are transformed from one level of granularity to another. Indeterminacy arises in particular when an approximation is ...

In this paper we emphasize a similarity between the Logarithmic-Type Image Processing (LTIP) model and the Naka-Rushton model of the Human Visual System (HVS). LTIP is a derivation of the Logarithmic Image Processing (LIP), which further replaces the logarithmic function with a ratio of polynomial functions. Based on this similarity, we show that it is possible to present an unifying framework ...

Time Room 1 Room 2 Room 3 Wednesday 9 November 2011 Parallel Session 1a 2.45 – 3.05 pm AdaBoost-based approach for detecting Lithiasis and Polyps in USG Images of the Gallbladder Marcin Ciecholewski Assessing Educators’ Acceptance of Virtual Reality (VR) in the Classroom Using the Unified Theory of Acceptance and Use of Technology (UTAUT). Niwala Haswita Hussin , Jafreezal Jaafar , Alan G.Downe...

A project is presented whose aim is to develop a system that can recognise electrical symbols on a scanned-in township map. The design of reticulation networks inevitably involves merging the new network with an existing infrastructure, and the system proposed plans to automate a large part of this process which was previously performed manually. The use of Neural Networks to implement the Patt...

In most multi-robot systems, an individual robot is not capable to solve computationally hard problems due to lack of high processing power. This paper introduces the novel concept of robotic clusters to empower these systems in their problem solvings. A robotic cluster is a group of individual robots which are able to share their processing resources, therefore, the robots can solve difficult ...