The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform

Vincent Frémont - One of the best experts on this subject based on the ideXlab platform.

  • IROS - UAV altitude estimation by mixed Stereoscopic Vision
    2010 IEEE RSJ International Conference on Intelligent Robots and Systems, 2010
    Co-Authors: Damien Eynard, Pascal Vasseur, Cédric Demonceaux, Vincent Frémont
    Abstract:

    Altitude is one of the most important parameters to be known for an Unmanned Aerial Vehicle (UAV) especially during critical maneuvers such as landing or steady flight. In this paper, we present mixed Stereoscopic Vision system made of a fish-eye camera and a perspective camera for altitude estimation. Contrary to classical Stereoscopic systems based on feature matching, we propose a plane sweeping approach in order to estimate the altitude and consequently to detect the ground plane. Since there exists a homography between the two views and the sensor being calibrated and the attitude estimated by the fish-eye camera, the algorithm consists then in searching the altitude which verifies this homography. We show that this approach is robust and accurate, and a CPU implementation allows a real time estimation. Experimental results on real sequences of a small UAV demonstrate the effectiveness of the approach.

  • UAV altitude estimation by mixed Stereoscopic Vision
    2010 IEEE RSJ International Conference on Intelligent Robots and Systems, 2010
    Co-Authors: Damien Eynard, Pascal Vasseur, Cédric Demonceaux, Vincent Frémont
    Abstract:

    Altitude is one of the most important parameters to be known for an Unmanned Aerial Vehicle (UAV) especially during critical maneuvers such as landing or steady flight. In this paper, we present mixed Stereoscopic Vision system made of a fish-eye camera and a perspective camera for altitude estimation. Contrary to classical Stereoscopic systems based on feature matching, we propose a plane sweeping approach in order to estimate the altitude and consequently to detect the ground plane. Since there exists a homography between the two views and the sensor being calibrated and the attitude estimated by the fish-eye camera, the algorithm consists then in searching the altitude which verifies this homography. We show that this approach is robust and accurate, and a CPU implementation allows a real time estimation. Experimental results on real sequences of a small UAV demonstrate the effectiveness of the approach.

Damien Eynard - One of the best experts on this subject based on the ideXlab platform.

  • IROS - UAV altitude estimation by mixed Stereoscopic Vision
    2010 IEEE RSJ International Conference on Intelligent Robots and Systems, 2010
    Co-Authors: Damien Eynard, Pascal Vasseur, Cédric Demonceaux, Vincent Frémont
    Abstract:

    Altitude is one of the most important parameters to be known for an Unmanned Aerial Vehicle (UAV) especially during critical maneuvers such as landing or steady flight. In this paper, we present mixed Stereoscopic Vision system made of a fish-eye camera and a perspective camera for altitude estimation. Contrary to classical Stereoscopic systems based on feature matching, we propose a plane sweeping approach in order to estimate the altitude and consequently to detect the ground plane. Since there exists a homography between the two views and the sensor being calibrated and the attitude estimated by the fish-eye camera, the algorithm consists then in searching the altitude which verifies this homography. We show that this approach is robust and accurate, and a CPU implementation allows a real time estimation. Experimental results on real sequences of a small UAV demonstrate the effectiveness of the approach.

  • UAV altitude estimation by mixed Stereoscopic Vision
    2010 IEEE RSJ International Conference on Intelligent Robots and Systems, 2010
    Co-Authors: Damien Eynard, Pascal Vasseur, Cédric Demonceaux, Vincent Frémont
    Abstract:

    Altitude is one of the most important parameters to be known for an Unmanned Aerial Vehicle (UAV) especially during critical maneuvers such as landing or steady flight. In this paper, we present mixed Stereoscopic Vision system made of a fish-eye camera and a perspective camera for altitude estimation. Contrary to classical Stereoscopic systems based on feature matching, we propose a plane sweeping approach in order to estimate the altitude and consequently to detect the ground plane. Since there exists a homography between the two views and the sensor being calibrated and the attitude estimated by the fish-eye camera, the algorithm consists then in searching the altitude which verifies this homography. We show that this approach is robust and accurate, and a CPU implementation allows a real time estimation. Experimental results on real sequences of a small UAV demonstrate the effectiveness of the approach.

Christian Petry - One of the best experts on this subject based on the ideXlab platform.

  • 3D interaction design: Increasing the stimulus-response correspondence by using Stereoscopic Vision
    2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015
    Co-Authors: Toni Fetzer, Christian Petry, Frank Deinzer, Karsten Huffstadt
    Abstract:

    This paper presents a hand-based interaction approach for grabbing and manipulating virtual objects within immersive virtual environments. Considering the stimulus-response of humans, interacting with objects is easier if depth information is provided by Stereoscopic Vision. However, most people are used to work in monoscopic virtual environments. Therefore, we propose a case study, to analyze if an interaction approach using Stereoscopic Vision, compared to a conventional monoscopic Vision, results in a higher user acceptance and stimulus-response correspondence. Our interaction approach is based on a robust and fast running 3D hand- and head-tracking provided by Microsoft's Kinect. We present a simple non-collision-based method for grabbing and manipulating objects within a 3D virtual environment. By tracking the head, the user is able to move within the environment and interact depending on his current position. The use of Stereoscopic Vision allows a natural and instinctive hand interaction with the augmented object. Finally, the experimental results and studies show how the use of Stereoscopic Vision improves the mental mapping and thus the user acceptance and stimulus-response correspondence in consideration of using the here presented interaction approach.

  • 3D interaction design: Increasing the stimulus-response correspondence by using Stereoscopic Vision
    2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015
    Co-Authors: Toni Fetzer, Christian Petry
    Abstract:

    This demo application presents a hand-based interaction approach for grabbing and manipulating virtual objects within immersive virtual environments. Since most people are used to work in monoscopic virtual environments, we created this application to analyze if an interaction approach using Stereoscopic Vision, compared to a conventional monoscopic Vision, results in a higher user acceptance and stimulus-response correspondence.

J.-c. Boissy - One of the best experts on this subject based on the ideXlab platform.

  • IECON - LazerLab: A 3D scanner/tracer laser system with Stereoscopic Vision
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012
    Co-Authors: R. Daviot, A.-c. Conneau, J.-c. Boissy
    Abstract:

    The project presented in this paper is to develop a prototype of a 3D scanner/tracer laser with Stereoscopic Vision. This device has the capabilities to automatically acquire templates for cutting materials and reproduce these materials. Both aspects are addressed in this article. The first is the description of the electronic architecture of this system. The second aspect deals with image processing algorithms developed to consider the use of two cameras, to detect areas for future cutting templates and to allow camera calibration by Harris detection. For cutting templates, Hough transform was used in order to automatically detect borders of planes in a picture.

  • LazerLab: A 3D scanner/tracer laser system with Stereoscopic Vision
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012
    Co-Authors: R. Daviot, A.-c. Conneau, J.-c. Boissy
    Abstract:

    The project presented in this paper is to develop a prototype of a 3D scanner/tracer laser with Stereoscopic Vision. This device has the capabilities to automatically acquire templates for cutting materials and reproduce these materials. Both aspects are addressed in this article. The first is the description of the electronic architecture of this system. The second aspect deals with image processing algorithms developed to consider the use of two cameras, to detect areas for future cutting templates and to allow camera calibration by Harris detection. For cutting templates, Hough transform was used in order to automatically detect borders of planes in a picture.

Toni Fetzer - One of the best experts on this subject based on the ideXlab platform.

  • 3D interaction design: Increasing the stimulus-response correspondence by using Stereoscopic Vision
    2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015
    Co-Authors: Toni Fetzer, Christian Petry, Frank Deinzer, Karsten Huffstadt
    Abstract:

    This paper presents a hand-based interaction approach for grabbing and manipulating virtual objects within immersive virtual environments. Considering the stimulus-response of humans, interacting with objects is easier if depth information is provided by Stereoscopic Vision. However, most people are used to work in monoscopic virtual environments. Therefore, we propose a case study, to analyze if an interaction approach using Stereoscopic Vision, compared to a conventional monoscopic Vision, results in a higher user acceptance and stimulus-response correspondence. Our interaction approach is based on a robust and fast running 3D hand- and head-tracking provided by Microsoft's Kinect. We present a simple non-collision-based method for grabbing and manipulating objects within a 3D virtual environment. By tracking the head, the user is able to move within the environment and interact depending on his current position. The use of Stereoscopic Vision allows a natural and instinctive hand interaction with the augmented object. Finally, the experimental results and studies show how the use of Stereoscopic Vision improves the mental mapping and thus the user acceptance and stimulus-response correspondence in consideration of using the here presented interaction approach.

  • 3D interaction design: Increasing the stimulus-response correspondence by using Stereoscopic Vision
    2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015
    Co-Authors: Toni Fetzer, Christian Petry
    Abstract:

    This demo application presents a hand-based interaction approach for grabbing and manipulating virtual objects within immersive virtual environments. Since most people are used to work in monoscopic virtual environments, we created this application to analyze if an interaction approach using Stereoscopic Vision, compared to a conventional monoscopic Vision, results in a higher user acceptance and stimulus-response correspondence.