Antônio L. Apolinário

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—In this paper we present an extension to the Kinect-Fusion algorithm that allows a robust real-time face tracking. This is achieved altering the original algorithm such that when the tracking algorithm fails, it uses a head pose estimation to give an initial guess to the Iterative Closest Point (ICP) algorithm. We show that this approach can handle more(More)
The past two decades showed a rapid growing of physically-based modeling of fluids for computer graphics applications. In this area, a common top down approach is to model the fluid dynamics by Navier-Stokes equations and apply a numerical techniques such as Finite Differences or Finite Elements for the simulation. In this paper we focus on fluid modeling(More)
Fig. 1. A schematic view of the markerless augmented reality approach: A) RGB-D live stream. B) A face detector is used to locate the face in the whole image (this step is required only if the face is chosen as the real object that will be augmented). C) Reference 3D model is reconstructed with KinectFusion algorithm [1]. D) The 3D reconstruction is stopped(More)
—In general, augmented reality (AR) applications use polygonal models to augment a real scene. However, most of the medical applications have volumetric data to be visualized. Therefore, it is desirable to the medical AR systems to provide the visualization of these volumes into the real scene in real-time. In this paper we introduce a real-time(More)
The past two decades showed a rapid growing of physically-based modeling of fluids for computer graphics applications. Techniques in the field of Computational Fluid Dynamics (CFD) have been applied for realistic fluid animation for virtual surgery simulators, computer games and visual effects. In this paper we focus on gas-liquid modeling for computer(More)