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This paper proposes a systematic framework for applying the Physics of Notations (PoN), a theory for the design of cognitively effective visual notations. The PoN consists of nine principles, but not all principles lend themselves equally to a clear and unambiguous operationalization. As a result, many visual notations designed according to the PoN apply it in different ways. The proposed framework...
Automatic blobs detection constitutes a basic but difficult problem. In this work a new fast blobs detection technique based on a scale-space representation of the original image, is proposed. The scale-space representation is constructed by using a new simplified form of the Fast Radial Symmetry Transform to precisely detect the essential blobs. From the experiments we have conducted, the proposed...
Characterizing the smart growth of a landscape in terms of the change pattern evolved in the region has been the focus of study for quite some time. The characterization of the growth of a region is essential for officials and city planners for the sake of planning and management perseverance. This paper attempts to characterize the smart growth of a region through landscape metrics. The traditional...
Human pose estimation and semantic part segmentation are two complementary tasks in computer vision. In this paper, we propose to solve the two tasks jointly for natural multi-person images, in which the estimated pose provides object-level shape prior to regularize part segments while the part-level segments constrain the variation of pose locations. Specifically, we first train two fully convolutional...
Oil spills and lookalikes (e.g. plant oil and oil emulsion) show the dark areas in SAR images, so it will bring some difficult in classifying the dark objects observed in full polarization SAR images into oil spills or lookalikes. In this paper, an approach is presented for distinguishing the dark areas in SAR images, which based on polarization features, geometric features and texture features fusion...
With increasing of the spatial resolution of satellite imaging sensors, object-based image analysis (OBIA) has been gaining prominence in remote sensing applications. However, scale selection in multi-scale segmentation and OBIA remains a challenge, which directly reduces efficiency of land cover mapping. In this study, we presented an object-based land cover mapping using adaptive scale segmentation...
A new rational quartic interpolating spline based on function values is constructed. The rational quartic interpolating spline curves have simple and explicit representation with parameters. The monotonicity-preserving, C2 continuity and boundedness of rational quartic interpolating spline curves are confirmed. Function value control and derivative value control of rational quartic interpolation spline...
We consider the general setting where users need to provide a secret code c to a verifying entity V in order to obtain access to a resource. More generally, the right to access the resource could, for example, be granted if one knows one of two codes ci and C2. For privacy reasons, a party P may want to hide which of the two codes it knows and only prove that it knows at least one of them. For example,...
We give a new proof of completeness for the linear-time μ-calculus w.r.t. Kozens's axiomatization. Our proof has the advantage of being constructive, i.e., it builds a proof for every valid formula.
Objects that we interact with in the surrounding environment are almost never observed at an identical position, orientation or perspective. Typically they undergo a wide range of transformations, with geometric transformations being the most common class. We have conducted a novel investigation of haptic search in which a target object has been subject to one of the four transformations: reflection,...
The AC optimal power flow problem is a non-convex optimization problem that is difficult to solve quickly and reliably for large-scale grids. To enable the application of efficient and robust solution algorithms, various linear approximations of the nonlinear system model are used. However, this may lead to solutions that are AC suboptimal or even infeasible. This paper proposes new linearization...
This paper proposes a Routing, Core and Spectrum Assignment (RCSA) algorithm based on the image processing Inscribed rectangle algorithm. The solution aims at discovering portions of spectrum capable of accommodating requests with low computational complexity. Advanced fitting policies are proposed to chose which portion of the spectrum to choose in order to reduce blocking and crosstalk. Results...
As the birth rates in Taiwan continue to decline, parents will pay more attention to the coming generation of children and thinking about how to educate them. Many small children spend much time watching television, playing electronic games or using the internet, and less time reading. Pop-up books provide wonderful reading experience with its' interesting interaction and vivid content, becoming an...
We present Bharati, a simple, novel script that can represent the characters of a majority of contemporary Indian scripts. The shapes/motifs of Bharati characters are drawn from some of the simplest characters of existing Indian scripts. Bharati characters are designed such that they strictly reflect the underlying phonetic organization, thereby attributing to the script qualities of simplicity, familiarity,...
State-of-the-art methods for traffic signs detection based feature extraction have got a high recall rate, but the detection rates are not ideal for some mistakenly detected. In this work, this paper presents a method of traffic signs detection based on HOG and Boolean Convolutional Neural Networks (HOG-BCNN). A cascade classifier is trained based on HOG to detect the candidate regions of traffic...
Improving office work efficiency has attracted increasing attention. We describe a tidying up robot that is expected to improve work efficiency. This robot is developed based on human-robot interaction and encourages a user to tidy up their desktop when it is disorderly. First, we explain the concept of the robot and introduce a prototype. We report the results of a preliminary experiment with four...
A comprehensive framework for detection and characterization of partial intrinsic symmetry over 3D shapes is proposed. To identify prominent symmetric regions which overlap in space and vary in form, the proposed framework is decoupled into a Correspondence Space Voting (CSV) procedure followed by a Transformation Space Mapping (TSM) procedure. In the CSV procedure, significant symmetries are first...
The class of density-based clustering algorithms excels in detecting clusters of arbitrary shape. DBSCAN, the most common representative, has been demonstrated to be useful in a lot of applications. Still the algorithm suffers from two drawbacks, namely a non-trivial parameter estimation for a given dataset and the limitation to data sets with constant cluster density. The first was already addressed...
In this paper, we present a new approach of distributed clustering for spatial datasets, based on an innovative and efficient aggregation technique. This distributed approach consists of two phases: 1) local clustering phase, where each node performs a clustering on its local data, 2) aggregation phase, where the local clusters are aggregated to produce global clusters. This approach is characterised...
In this paper, an information fusion system for tree species recognition through leaves is proposed. This approach consists in training sub-classifiers (Random forests) with attributes extracted from leaf photos. The database is incomplete, partial and some data is conflicting. A hierarchical fusion system based on Belief functions theory allows the fusion of data provided by different sub-classifiers...
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