François de Sorbier

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We present a method for overlaying a texture onto a non-rigid surface using a commodity depth camera. The depth cameras are able to capture 3-D data of a surface in real-time, and have several advantages compared with methods using only standard color cameras. However, it is not easy to register a 3-D deformable mesh to a point cloud of the non-rigid(More)
In this paper, we present a system for visualizing temperature changes in a scene using an RGB-D camera coupled with a thermal camera. This system has applications in the context of maintenance of power equipments. We propose a two-stage approach made of with an offline and an online phases. During the first stage, after the calibration, we generate a 3D(More)
Conventional local features such as SIFT or SURF are robust to scale and rotation changes but sensitive to large perspective change. Because perspective change always occurs when 3D object moves, using these features to estimate the pose of a 3D object is a challenging task. In this paper, we extend one of our previous works on viewpoint generative learning(More)
In this paper, we will present methods for camera pose estimation for mixed and diminished reality visualization in FTV application. We first present Viewpoint Generative Learning (VGL) based on 3D scene model reconstructed using multiple cameras including RGB-D camera. In VGL, a database of feature descriptors is generated for the 3D scene model to make(More)
In this paper, we describe a method for overlaying a texture onto a T-shirt, for improving current virtual fitting system. In such systems, users can try on clothes virtually. In order to realize such a system, a depth camera has been used. These depth cameras can capture 3D data in real time and have been used by some industrial virtual cloth fitting(More)
An efficient system that upsamples depth map captured by Microsoft Kinect while jointly reducing the effect of noise is presented. The upsampling is carried by detecting and exploiting the piecewise locally planar structures of the downsampled depth map, based on corresponding high-resolution RGB image. The amount of noise is reduced by accumulating the(More)
In this paper, we propose an efficient framework for reducing noise and holes in depth map captured with an RGB-D camera. This is performed by applying plane fitting to the groups of points assimilable to planar structures and filtering the curved surface points. We present a new method for finding global planar structures in a 3D scene by combining(More)
Spatial augmented reality extends augmented reality by projecting virtual data directly on a target surface, but requires to calibrate a projector-camera system. This paper introduces a free-calibration projectorcamera system for spatial augmented reality with a planar surface. A pattern is projected on the target surface that can be freely moved. The main(More)