Mapeamento geológico-geotécnico na rodovia Amparo - Morungaba (SP - 360)

The work depicts the study of geological and geotechnical characteristics presents, together with an analysis of the physical environment components and evaluation of its units, along a marginal stretch at Rodovia Amparo-Morungaba (SP-360) in order to present a geological and geotechnical map, 1:25.000 scale (one of the objectives of the work). There was also a geotechnical assessment of the present geological processes and the development of corrective measures necessary to establish safe conditions for road traffic. The method for the characterization of geological and geotechnical analysis was integrated the physical components associated with photo interpretation (another objective of this work) based on Google Earth´s air images along the referred highway. In addition, field studies were made that helped in the distribution and compartmentalization of the six geological and geotechnical units and profiles of each specific alteration were also made. The finals results present the above mentioned map, a detailed description of each of the six units and a a geotechnical assessment of the present geological processes and the development of corrective measures necessary to establish safe conditions for road traffic. Also, had success at photo interpretation based on Google Earth´s air images, obtaining stereoscopy

Análise de regiões em cenários agrícolas utilizando um sistema de visão catadióptrico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Explorando abordagens de aprendizado sequencial para floresta de caminhos ótimos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Explorando abordagens de múltiplos rótulos por floresta de caminhos ótimos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Combinação de dispositivos de baixo custo para rastreamento de gestos

Pós-graduação em Ciência da Computação - IBILCE

Reconhecimento de faces 3D com Kinect

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeitos da ractopamina e da imunocastração de suínos nas características da barriga e na qualidade do bacon

Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

Programa computacional ODR-ATA para densitometria óssea baseado na densitometria radiografica

Pós-graduação em Ciência Animal - FMVA

Refinamento geométrico de contornos e cumeeiras de telhados de edifícios extraídos de dados laser com uso de imagem aérea

In this paper, a method is proposed to refine the LASER 3D roofs geometrically by using a high-resolution aerial image and Markov Random Field (MRF) models. In order to do so, a MRF description for grouping straight lines is developed, assuming that each projected side contour and ridge is topologically correct and that it is only necessary to improve its accuracy. Although the combination of laser data with data from image is most justified for refining roof contour, the structure of ridges can give greater robustness in the topological description of the roof structure. The MRF model is formulated based on relationships (length, proximity, and orientation) between the straight lines extracted from the image and projected polygon and also on retangularity and corner injunctions. The energy function associated with MRF is minimized by the genetic algorithm optimization method, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding LASER scanning polygon projected onto the image-space. The results obtained were satisfactory. This method was able to provide polygons roof refined buildings in which most of its contour sides and ridges were geometrically improved.

Mapeamento geológico-geotécnico do núcleo urbano central do município de Ilhabela - SP

Pós-graduação em Geociências e Meio Ambiente - IGCE

Aprendizado de máquina baseado em tensores e suas aplicacções para floresta de caminhos ótimos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Desenvolvimento de um método semiautomático para geração de ground truths de vídeos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Registro semiautomático entre imagens infravermelhas e RGB coletadas por um par de câmaras digitais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear

The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency.

Geração automática de modelos digitais de superfícies utilizando múltiplas imagens

Pós-graduação em Ciências Cartográficas - FCT