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Publications of Antoine Lejeune
I-see-3D! An Interactive and Immersive System that dynamically adapts 2D projections to the location of a user’s eyesPierard, Sébastien ; Pierlot, Vincent ; Lejeune, Antoine et alin International Conference on 3D Imaging (IC3D) (2012, December) This paper presents a system that gives the illusion of a 3D immersive and interactive environment with 2D projectors. The user does not need to wear glasses, nor to watch a (limited) screen. The virtual ... [more ▼] This paper presents a system that gives the illusion of a 3D immersive and interactive environment with 2D projectors. The user does not need to wear glasses, nor to watch a (limited) screen. The virtual world is all around him, drawn on the floor. As the user is himself immersed in the virtual world, there is no need for a proxy like an avatar; he can move inside the virtual environment freely. Moreover, the Isee-3D system allows a user to manipulate virtual objects with his own body, making interactions with the virtual world very intuitive. Giving the illusion of 3D requires to render images insuch a way that the deformation of the image projected on thefloor is taken into account, as well as the position of the user’s “eye” in its virtual world. The resulting projection is neither perspective nor orthographic. Nevertheless, we describe how thiscan be implemented with the standard OpenGL pipeline, without any shader. Our experiments demonstrate that our system is effective in giving the illusion of 3D. Videos showing the results obtained with our I-see-3D system are available on our website http://www.ulg.ac.be/telecom/projector [less ▲] Detailed reference viewed: 101 (12 ULg) Adaptive bilateral filtering for range imagesLejeune, Antoine ; Van Droogenbroeck, Marc ; Verly, Jacques ![]() in URSI Benelux Forum 2012 (2012, September 14) We propose an improvement for range images of the standard bilateral filter consisting in adapting it locally to the distribution of the range noise at each pixel. Detailed reference viewed: 86 (9 ULg) Utilisation de la KinectLejeune, Antoine ; Pierard, Sébastien ; Van Droogenbroeck, Marc et alin Linux Magazine France (2012), 151 Fin 2010, Microsoft lançait la Kinect pour Xbox 360, la première caméra 3D destinée au grand public. Une semaine plus tard sortait la première librairie permettant d'utiliser l'appareil sur un ordinateur ... [more ▼] Fin 2010, Microsoft lançait la Kinect pour Xbox 360, la première caméra 3D destinée au grand public. Une semaine plus tard sortait la première librairie permettant d'utiliser l'appareil sur un ordinateur personnel. Depuis lors, des centaines d'applications ont vu le jour utilisant l'information de profondeur capturée par la Kinect pour analyser le mouvement humain ou guider des robots. Dans cette article, nous allons voir comment développer une application utilisant la Kinect sous GNU/Linux. [less ▲] Detailed reference viewed: 137 (23 ULg) Recognition of emotions in facial imagesPierard, Sébastien ; Lejeune, Antoine ; Van Droogenbroeck, Marc ![]() Report (2012) This document reports about some work done in the field of emotions classification in facial images. Detailed reference viewed: 40 (7 ULg) The secrets of the Kinect ... in depth!Lejeune, Antoine ; Van Droogenbroeck, Marc ; Verly, Jacques ![]() Conference (2011, December 08) The slides present the Kinect in depth. The major technological ideas are explained. In addition, the presentation gives an overview of all the libraries available to interface to the Kinect. Detailed reference viewed: 269 (6 ULg) A new jump edge detection method for 3D camerasLejeune, Antoine ; Pierard, Sébastien ; Van Droogenbroeck, Marc et alin International Conference on 3D Imaging (IC3D) (2011, December) Edges is a fundamental clue for analyzing, interpreting, and understanding 3D scenes: they describe objects boundaries. Available edge detection methods are not suited for 3D cameras such as the Microsoft ... [more ▼] Edges is a fundamental clue for analyzing, interpreting, and understanding 3D scenes: they describe objects boundaries. Available edge detection methods are not suited for 3D cameras such as the Microsoft Kinect or a time-of-flight camera: they are slow and do not take into consideration the characteristics of the cameras. In this paper, we present a fast jump edge detection technique for 3D cameras based on the principles of Canny’s edge detector. We first analyze the characteristics of the range signal for two different kinds of cameras: a time-of-flight camera (the PMD[vision] CamCube) and the Microsoft Kinect. From this analysis, we define appropriate operators and thresholds to perform the edge detection. Then, we present some results of the developed algorithms for both cameras. [less ▲] Detailed reference viewed: 272 (20 ULg) A probabilistic pixel-based approach to detect humans in video streamsPierard, Sébastien ; Lejeune, Antoine ; Van Droogenbroeck, Marc ![]() in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011) (2011, May) Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper presents a new approach ... [more ▼] Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper presents a new approach to detect humans in video streams. Our approach is based on the temporal information present in videos. A background subtraction algorithm is first used to segment the silhouettes of the users and the moving objects. Then a classification process in two steps determines for each connected component if it corresponds to the silhouette of a human or not. During the first step, a probabilistic information is computed for each pixel independently. The information from a subset of pixels is then gathered to predict the class of the observed silhouette. This paper presents the principles and some results obtained on real silhouettes. It is shown that our approach is efficient for the detection of humans in video streams. [less ▲] Detailed reference viewed: 85 (13 ULg) 3D information is valuable for the detection of humans in video streamsPierard, Sébastien ; Lejeune, Antoine ; Van Droogenbroeck, Marc ![]() in 3D Stereo Media (2010, December) In this paper, we propose a technique based on 3D information (also called depth or range) for the detection of humans. First, a background subtraction technique operates to detect the silhouettes of ... [more ▼] In this paper, we propose a technique based on 3D information (also called depth or range) for the detection of humans. First, a background subtraction technique operates to detect the silhouettes of humans and objects moving in the scene. Then, a machine learning algorithm is used to predict if a silhouette annotated with depth matches a human silhouette or not. The complete method is designed to cope with defects introduced during the segmentation step. Results, obtained on computer generated data, show that 3D depth data is a valuable information for detecting humans in that it improves over techniques based on binary silhouettes. In our experiments, we have reached an accuracy of 99.9% thanks to the depth information. [less ▲] Detailed reference viewed: 100 (24 ULg) |
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