Estado del arte de algoritmos de generalización vectorial de núcleos urbanos.

Se presenta este artículo con el ánimo de enumerar y estudiar diferentes algoritmos que tratan la generalización de datos cartográficos vectoriales de zonas urbanas, debido a que en ellas se concentran la mayoría de los conflictos que se pueden encontrar en los procesos de generalización cartográfica. A pesar de que la generalización es uno de los procedimientos más difíciles de automatizar, existen herramientas que implementan estos algoritmos y ofrecen resultados satisfactorios, aunque ninguna de ellas es capaz de automatizar por completo el proceso de generalización. A continuación, se incluyen las pruebas realizadas al respecto, describiendo y analizando los resultados obtenidos, estableciendo una comparativa con trabajos realizados por diferentes autores. Se concluye el documento valorando los posibles trabajos futuros para solventar la problemática de la generalización cartográfica. Este estudio se encuentra en el marco del proyecto CENIT España Virtual. Abstract: This article is focused in studying different algorithms about generalization of vector map data from urban areas, because most of the conflicts in the processes of cartographic generalization are concentrated in these areas. Although generalization is one of the most difficult processes to automate, there are tools that implement these algorithms and provide satisfactory results. However,none of them can automate the process of generalization completely. Then tests in describing and analyzing the results are included, establishing a comparison with works of various authors. The document concludes by assessing the possible future works to solve the problem of cartographic generalization. This study is within the CENIT project España Virtual

Multiscale structure of meanders

This is the final version of the article. Available from the publisher via the DOI in this record..River meander planforms can be described based on wavelet analysis, but an objective method to identify the main characteristics of a meander planform over all spatial scales is yet to be found. Here we show how a set of simple metrics representing meander shape can be retrieved from a continuous wavelet transform of a planform geometry. We construct a synoptic multiple looping tree to establish the meander structure, revealing the embedding of dominant meander scales in larger-scale loops. The method can be applied beyond the case of rivers to unravel the meandering structure of lava flows, turbidity currents, tidal channels, rivulets, supraglacial streams, and extraterrestrial flows.This research was supported by the Royal Netherlands Academy of Arts and Sciences (KNAW), project SPIN3-JRP-29, and by NWO-WOTRO Science for Global Development, project WT76-269. We thank Meinhard Bayani Cardenas, the Associate Editor, Efi Foufoula-Georgiou, Jon Schwenk, and one anonymous reviewer for their comments and suggestions. The data used in this study can be obtained by contacting the corresponding author. The processing routines can be downloaded at https://github.com/bartverm/ meanderscribe.git

A marker-less human motion analysis system for motion-based biomarker discovery in knee disorders

In recent years the NHS has been having increased difficulty seeing all low-risk patients, this includes but not limited to suspected osteoarthritis (OA) patients. To help address the increased waiting lists and shortages of staff, we propose a novel method of automated biomarker identification for diagnosis of knee disorders and the monitoring of treatment progression. The proposed method allows for the measurement and analysis of biomechanics and analyse their clinical significance, in both a cheap and sensitive alternative to the currently available commercial alternatives. These methods and results validate the capabilities of standard RGB cameras in clinical environments to capture motion and show that when compared to alternatives such as depth cameras there is a comparable accuracy in the clinical environment. Biomarker identification using Principal Component Analysis (PCA) allows the reduction of the dimensionality to produce the most representative features from motion data, these new biomarkers can then be used to assess the success of treatment and track the progress of rehabilitation. This was validated by applying these techniques on a case study utilising the exploratory use of local anaesthetic applied on knee pain, this allows these new representative biomarkers to be validated as statistically significant (p-value < 0.05).Comment: 11 pages, 5 figure

Délimitation d'ensembles morphologiques par une approche multi-échelle: Application à la délimitation morphologique des agglomérations

http://thema.univ-fcomte.fr/theoq/International audienceThe paper deals with the identification of the envelope of built-up patterns that we define as the limit of a morphologically coherent set through the scales. The point of view is purely morphological; it refers to a multi-scale approach. Besides the description of the context of the research (that is the urban-rural delimitation) the paper is dedicated to the presentation of the methodological principles which allow the identification of the envelope of built-up patterns. The first step of the methodology, that is the step by step dilation of a studied built-up pattern, is briefly described. The emphasis is placed on the second step of the methodology that is the identification of a threshold in the curve stemming from the dilations. The third part of the paper presents some examples of application to theoretical cases, whereas the fourth and last part deals with the application for the morphological delimitation of urban areas.Cet article s'intéresse à l'identification de l'enveloppe de tissus bâtis, que nous définissons comme la limite d'un ensemble présentant une structure spatiale cohérente à travers les échelles. Nous abordons cette question d'un point de vue purement morphologique, dans le cadre d'une approche multi-échelle. Après avoir, dans un premier temps, posé le contexte de la recherche, nous présentons les principes méthodologiques à la base de l'identification de l'enveloppe de tissus bâtis. La première étape de la méthodologie, à savoir la dilatation pas à pas du tissu bâti étudié, est décrite brièvement. L'accent est mis sur la deuxième étape, qui est celle de l'identification d'un seuil dans la courbe issue des dilatations. Le troisième chapitre de l'article est l'occasion de présenter quelques exemples d'application de la méthodologie à des cas théoriques, tandis que le quatrième et dernier chapitre s'intéresse à l'application pour la délimitation morphologique des agglomérations

ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos

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Area and length preserving geometric invariant scale-spaces

Caption title.Includes bibliographical references (p. 23-27).Supported by the National Science Foundation. DMS-8811084 ECS-9122106 Supported by the Air Force Office of Scientific Research. AFOSR-90-0024 Supported by the Army Research Office. DAAL03-91-G-0019 DAAL03-92-G-0115 Supported by the Rothschild Foundation-Yad Hanadiv.Guillermo Sapiro, Allen Tannenbaum

Invariant geometric evolutions of surfaces and volumetric smoothing

Includes bibliographical references (p. 21-25).Supported by the National Science Foundation. DMS-9116672 DMS-9204192 DMS-8811084 ECS-9122106 Supported by the Air Force Office of Scientific Research. AFOSR-90-0024 F49620-94-1-00S8DEF Supported by the Army Research Office. DAAL03-92-G-0115 DAAL03-91-G-0019 DAAH04-93-G-0332 DAAH04-94-G-0054 Supported by the Rothschild Foundation-Yad Hanadiv and by Image Evolutions, Ltd.Peter J. Olver, Guillermo Sapiro, Allen Tannenbaum

Differential invariant signatures and flows in computer vision : a symmetry group approach

Includes bibliographical references (p. 40-44).Supported by the National Science Foundation. DMS-9204192 DMS-8811084 ECS-9122106 Supported by the Air Force Office of Scientific Research. AFOSR-90-0024 Supported by the Rothschild Foundation-Yad Hanadiv and by Image Evolutions, Ltd.Peter J. Olver, Guillermo Sapiro, Allen Tannenbaum

Part Description and Segmentation Using Contour, Surface and Volumetric Primitives

The problem of part definition, description, and decomposition is central to the shape recognition systems. The Ultimate goal of segmenting range images into meaningful parts and objects has proved to be very difficult to realize, mainly due to the isolation of the segmentation problem from the issue of representation. We propose a paradigm for part description and segmentation by integration of contour, surface, and volumetric primitives. Unlike previous approaches, we have used geometric properties derived from both boundary-based (surface contours and occluding contours), and primitive-based (quadric patches and superquadric models) representations to define and recover part-whole relationships, without a priori knowledge about the objects or object domain. The object shape is described at three levels of complexity, each contributing to the overall shape. Our approach can be summarized as answering the following question : Given that we have all three different modules for extracting volume, surface and boundary properties, how should they be invoked, evaluated and integrated? Volume and boundary fitting, and surface description are performed in parallel to incorporate the best of the coarse to fine and fine to coarse segmentation strategy. The process involves feedback between the segmentor (the Control Module) and individual shape description modules. The control module evaluates the intermediate descriptions and formulates hypotheses about parts. Hypotheses are further tested by the segmentor and the descriptors. The descriptions thus obtained are independent of position, orientation, scale, domain and domain properties, and are based purely on geometric considerations. They are extremely useful for the high level domain dependent symbolic reasoning processes, which need not deal with tremendous amount of data, but only with a rich description of data in terms of primitives recovered at various levels of complexity

Analytical Representation of Contours

The interpretation and recognition of noisy contours, such as silhouettes, have proven to be difficult. One obstacle to the solution of these problems has been the lack of a robust representation for contours. The contour is represented by a set of pairwise tangent circular arcs. The advantage of such an approach is that mathematical properties such as orientation and curvature are explicityly represented. We introduce a smoothing criterion for the contour tht optimizes the tradeoff between the complexity of the contour and proximity of the data points. The complexity measure is the number of extrema of curvature present in the contour. The smoothing criterion leads us to a true scale-space for contours. We describe the computation of the contour representation as well as the computation of relevant properties of the contour. We consider the potential application of the representation, the smoothing paradigm, and the scale-space to contour interpretation and recognition