Teresa C. S. Azevedo

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Three-dimensional (3D) objects reconstruction using just bidimensional (2D) images has been a major research topic in Computer Vision. However, it is still a hard problem to address, when automation, speed and precision are required and/or the objects have complex shapes or image properties. In this paper, we compare two Active Computer Vision methods(More)
This work presents a volumetric approach to reconstruct and characterise 3D models of external anatomical structures from 2D images. Volumetric methods represent the final volume using a finite set of 3D geometric primitives, usually designed as voxels. Thus, from an image sequence acquired around the object to reconstruct, the images are calibrated and the(More)
In this paper we describe the development of a Computer Platform, whose goal is to recover the threedimensional (3D) structure of a scene or the shape of an object, using Structure From Motion (SFM) techniques. SFM is an Active Computer Vision technique, which doesn’t need contact or energy projection. The main objective of this project is to recover the 3D(More)
Three-dimensional (3D) human body reconstruction and modeling from multiple twodimensional (2D) images is a topic of great interest and research but still remains a difficult problem. Volumetric based methods are commonly used to solve this type of problem. With those methods, from a turntable image sequence of an object, a 3D model can be built. The final(More)
Three-dimensional (3D) geometric reconstruction and characterization of the human body from bidimensional (2D) images has been a major research topic in Computer Vision. However, it is still a complex problem to solve, when automation, speed and precision are required. Volumetric based methods are a recent and successful solution for 3D structures(More)
This paper presents a volumetric approach for image-based three-dimensional (3D) reconstruction of external anatomical structures. This has been a major research topic in Computer Vision. However, it is still a complex problem to solve, when automation, speed and precision are required or when the objects involved present complex topologies or strict photo(More)
Three-dimensional (3D) reconstruction of objects from 2D images has been a major research topic in Computer Vision in the last decades. However, it is still a complex problem to solve, when automation, speed and precision are required or when the objects involved present complex topologies or severe photo characteristics. Methods for 3D reconstruction of(More)
A calibração de uma câmara de imagem é um processo que permite estimar os parâmetros que definem a projecção de um ponto tridimensional (3D) do mundo num ponto bidimensional (2D) da imagem. Os referidos parâmetros incluem a geometria interna e óptica da câmara, assim como o seu posicionamento e orientação no espaço 3D. A utilização de câmaras de imagem(More)
This paper presents a volumetric approach for three-dimensional (3D) object reconstruction. Building 3D models of objects from 2D images is still a very difficult task. However, the built 3D models can have different applications in many areas, such as in industrial inspection, virtual reality, and medicine, among others. In our work, an uncalibrated(More)
This work presents a volumetric approach to reconstruct and characterize threedimensional (3D) models of external anatomical structures from two-dimensional (2D) images. Volumetric methods represent the final volume using a finite set of 3D geometric primitives, usually designed as voxels. Thus, from an image sequence acquired around the object to(More)