Gesture controlled interactive rendering in a panoramic scene

The demonstration described hereafter covers technical work carried out in the FascinatE project [1], related to the interactive retrieval and rendering of high-resolution panoramic scenes. The scenes have been captured by a special panoramic camera (the OMNICAM) [2] with is capturing high resolution video featuring a wide angle (180 degrees) field of view. Users can access the content by interacting based on a novel device-less and markerless gesture-based system that allows them to interact as naturally as possible, permitting the user to control the rendering of the scene by zooming, panning or framing through the panoramic scenePeer ReviewedPostprint (published version

Gesture interaction with rich TV content in the social setting

The appearance of new immersive TV content has increased the interactive possibilities presented to the viewers. Increased interactivity is seen as a valuable feature in viewing richer television content, but new functionalities are limited by what can be done naturally and intuitively using available devices like remote controls. Therefore, new interaction techniques, such as visual gestures control systems, have appeared aiming to enhance the viewers’ viewing experience. In this work we begin uncovering the potential and challenges of gesture interaction with ultra high definition video for people watching TV together. As a first step we have done a study with a group of people interacting with such content using a gesture-based system in the home environment.Peer ReviewedPostprint (published version

Non-parametric Blur Map Regression for Depth of Field Extension

Real camera systems have a limited depth of field (DOF) which may cause an image to be degraded due to visible misfocus or too shallow DOF. In this paper, we present a blind deblurring pipeline able to restore such images by slightly extending their DOF and recovering sharpness in regions slightly out-of-focus. To address this severely ill-posed problem, our algorithm relies first on the estimation of the spatiallyvarying defocus blur. Drawing on local frequency image features, a machine learning approach based on the recently introduced Regression Tree Fields is used to train a model able to regress a coherent defocus blur map of the image, labeling each pixel by the scale of a defocus point-spread-function. A non-blind spatiallyvarying deblurring algorithm is then used to properly extend the DOF of the image. The good performance of our algorithm is assessed both quantitatively, using realistic ground truth data obtained with a novel approach based on a plenoptic camera, and qualitatively with real images

Gesture controlled interactive rendering in a panoramic scene

The demonstration described hereafter covers technical work carried out in the FascinatE project [1], related to the interactive retrieval and rendering of high-resolution panoramic scenes. The scenes have been captured by a special panoramic camera (the OMNICAM) [2] with is capturing high resolution video featuring a wide angle (180 degrees) field of view. Users can access the content by interacting based on a novel device-less and markerless gesture-based system that allows them to interact as naturally as possible, permitting the user to control the rendering of the scene by zooming, panning or framing through the panoramic scenePeer Reviewe

Gesture interaction with rich TV content in the social setting

The appearance of new immersive TV content has increased the interactive possibilities presented to the viewers. Increased interactivity is seen as a valuable feature in viewing richer television content, but new functionalities are limited by what can be done naturally and intuitively using available devices like remote controls. Therefore, new interaction techniques, such as visual gestures control systems, have appeared aiming to enhance the viewers’ viewing experience. In this work we begin uncovering the potential and challenges of gesture interaction with ultra high definition video for people watching TV together. As a first step we have done a study with a group of people interacting with such content using a gesture-based system in the home environment.Peer Reviewe

Gesture interaction with rich TV content in the social setting

The appearance of new immersive TV content has increased the interactive possibilities presented to the viewers. Increased interactivity is seen as a valuable feature in viewing richer television content, but new functionalities are limited by what can be done naturally and intuitively using available devices like remote controls. Therefore, new interaction techniques, such as visual gestures control systems, have appeared aiming to enhance the viewers’ viewing experience. In this work we begin uncovering the potential and challenges of gesture interaction with ultra high definition video for people watching TV together. As a first step we have done a study with a group of people interacting with such content using a gesture-based system in the home environment.Peer Reviewe