Thomson Licensing

Interdigital Ce Patent Holdings, Sas

Interdigital Ce Patent Holdings

Thomson-csf

Thomson Consumer Electronics Inc.

Thomson Licensing S.a.

Interdigital Madison Patent Holdings, Sas

Thomson Licensing Dtv

Thomson Grand Public

Philippe Robert

Pierrick Jouet

Matthieu Fradet

Jurgen Stauder

Anthony Laurent

Edouard Francois

Guillaume Boisson

Gwenaelle Marquant

Sylvain Thiebaud

Cedric Thebault

Vincent Alleaume

Jürgen Stauder

Francois Le Clerc

Pascal Basset

Yannick Nicolas

Pierre-Henri Conze

Salma Jiddi

Valter Drazic

Didier Doyen

Laurent Blonde

Caroline Baillard

Jérôme Vieron

Kiran Varanasi

Julien Fleureau

Yannick Olivier

Jonathan Kervec

Benoit Vandame

Christine Guillemot

Tao Luo

Jerome Vieron

Michel Kerdranvat

Joan Llach Pinsach

Patrick Perez

Olivier Bureller

Quang Khanh Ngoc Duong

Laurent Blondé

Jean-Yves Babonneau

Thierry Viellard

David Gendron

Alain Verdier

Tomas Enrique Crivelli

Jérome Vieron

Bernard Rouvrais

G&eacute;rard Briand

Gwenaëlle Marquant

Matis Hudon

Guylaine Le Jan

Sylvain Duchene

Patrick Pineau

Gregoire Nieto

Le Clerc Francois

Grégoire Nieto

Tomas Crivelli

Estimating lighting conditions in a mixed reality scene is a challenging task. Adding shadows cast by virtual objects in the scene contributes significantly to the user experience. To this end, there is proposed, among others, a method for an autonomously movable device having a camera. The device may move to a first position in the scene and capture a first image of a shadow of the device cast by a light source. The device may move to a second position in the scene and capture a second image of a shadow of the device cast by a light source. Features of the light source may be determined at each of the first and the second positions, and a lighting model may be determined for the scene based on the determined features of the light source in the scene.

Lighting model

A method and device are provided for processing images. In one embodiment, the method comprises receiving an image is received of a scene having a plurality of real objects and determining if at least one of these real objects is a reference object stored in a database. Subsequently, candidate shadow map of the reference object identified is retrieved when available and when a reference object cannot be identified, an object in the scene with adequate parameters is selected and the candidate shadow maps of this new reference object using said lighting parameters is computed.

Shadow-based estimation of 3D lighting parameters from reference object and reference virtual viewpoint

Localization of a user device in a mixed reality environment in which the user device obtains at least one keyframe from a server, which can reside on the user device, displays at least one of the keyframes on a screen, captures by a camera an image of the environment, and obtains a localization result based on at least one feature of at least one keyframe and the image.

Device and method for device localization

A method for processing a 3D scene, and corresponding device, system and computer program are disclosed. In an example embodiment, the disclosed method includes: obtaining an image comprising at least a nadir view of a 3D scene, captured by at least one camera; detecting, in the image, at least one shadow cast by at least one object of the 3D scene acting as a support for the at least one camera; and determining a direction of at least one real light source from the at least one detected shadow and at least information representative of the object.

Method for processing a shadow in a 3D scene, and corresponding device, system and computer program

A position and an orientation of a user in a virtual 3D scene is determined (), an action is executed () in the virtual 3D scene for the user in function of the position and orientation of the user with respect to a given place, and a result of the action is outputted (). For at least one event in the scene consisting in a presence of at least one determined virtual content, metadata linking the event(s) and at least one place of the event(s) are obtained (). A given event and the given place linked by those metadata are determined (), in function of the above position and orientation and of a relationship between that event and a user profile of the user. The action regarding the determined given event and place is executed.

3D immersive method and device for a user in a virtual 3D scene

In a situation where a capturing device is capturing a first image of a scene comprising a display device displaying a second image, a salient idea is to send both the captured first image and the second image, being displayed by the display device to a processing device, for comparatively processing the first and the second image to determine a characteristic associated with the display device. Being able to process the first image (comprising a displayed second image) together with the original second image advantageously allows to determine various characteristics associated with the display device that altered the displayed second image within the first image, making it different from the initial second image. Characteristics associated with the display device are for example a specular reflection occurring on the display device in the scene and disturbing the capture of the scene.

Method and device for determining a characteristic of a display device

The present invention relates to a method for estimating cast shadow regions and highlight regions in a scene, said scene being represented by a low dynamic range image, called LDR image, and a high dynamic range, called HDR image, said method comprising the steps of: &#x2014;computing (S) a detail map, called LDR detail map, of the LDR image, said LDR detail map associating a detail level to each pixel of the LDR image, &#x2014;computing (S) a detail map, called HDR detail map, of the HDR image, said HDR detail map associating a detail level to each pixel of the HDR image, and &#x2014;detecting (S) regions of the scene where the detail level in the HDR detail map is greater than the detail level in the LDR detail map, said detected regions corresponding to cast shadow regions or highlights region of the scene.

Method and device for estimating cast shadow regions and/or highlight regions in images

A method and an apparatus for processing a 3D scene are disclosed. A reference image representative of an image of the scene captured under ambient lighting is determined. A texture-free map is determined from said reference image and an input image of the scene. The 3D scene is then processed using the determined texture-free map.

Method and apparatus for processing virtual object lighting inserted into a 3D real scene

The disclosure relates to a method for generating an augmented representation of a real environment, called an augmented reality representation. Such a method includes obtaining, as a function of said real environment, a virtual boundary dividing the real environment into two spaces, respectively called an activity space and a mixed space. The augmented reality representation is generated by obtaining a first part of the augmented reality representation, called an activity part, corresponding to a representation of at least one part of the activity space. Thereafter, obtaining a second part of the augmented reality representation, called a mixed part, corresponding to an augmented representation of at least one part of the mixed space, in which at least one virtual content is combined with the representation of at least one part of the mixed space.

Method for generating an augmented representation of a real environment, corresponding device, computer program product, and computer-readable carrier medium

In order to blur a virtual object in a video in real time as the video is acquired by a device capturing a real scene, a salient idea is used which estimates an apparent motion vector between two successive images, being captured at two successive device poses, in which the apparent motion vector estimation is based on a motion of the device. The successive images are then filtered based on the estimated apparent motion vector.

Method and device for blurring a virtual object in a video

An augmented reality (AR) interactive system and method is provided. In one embodiment the systems comprises a head mounted user interface configured to receive user input, a processor configured to manage data based on user input, a camera and a display. The camera and the display are in processing communication with one another and the head mounted user interface via the processor. The processor is configured to determine a user's field of view and a center of the user's field of view based on output of a sensor and rendering images for output to the display. Each of the images include one or more objects and a plurality of signs each corresponding to a selectable object in the user's field of view. The rendering of images include altering a first display attribute of a given sign of the plurality of displayed signs based on determining that the user's field of view is centered on the given sign. The processor is also configured to select the given sign based on determining that the user's field of view remains centered on the given sign for an amount of time exceeding a threshold.

Assisted item selection for see through glasses

The disclosure pertains a method for determining a rendered tridimensional content intended to a viewer. The method includes inputting a reference content comprising at least a reference view, inputting at least one information related to the viewer's eyes orientation relatively to a reference axis of a display device, and determining a rendered view as a function of the reference view, and the information related to the viewer's eyes orientation relatively to the reference axis of the display device.

Tridimensional rendering with adjustable disparity direction

A method for generating an adapted slice image from a focal stack of refocused images using an all-in-focus image derived from the focal stack comprises: selecting a slice image in the focal stack; selecting at least one object in the all-in-focus image to be focused in the adapted slice image; and generating the adapted slice image by combining the selected at least one object in the all-in-focus image onto the selected slice image.

Method and apparatus for generating an adapted slice image from a focal stack

Method of mapping source colors of an image into a target color gamut of a target color device in two mapping steps

A method, apparatus and system for estimating reflectance parameters and a position of the light source(s) of specular reflections of a scene include RGB sequence analysis with measured geometry in order to estimate specular reflectance parameters of an observed 3D scene. Embodiments include pixel-based image registration from which profiles of 3D scene points image intensities over the sequence are estimated. A profile is attached to a 3D point and to the set of pixels that display its intensity in the registered sequence. Subsequently, distinction is made between variable profiles that reveal specular effects and constant profiles that show diffuse reflections only. Then, for each variable profile diffuse reflectance is estimated and subtracted from the intensity profile to deduce the specular profile and the specular parameters are estimated for each observed 3D point. Then, the location of at least one light source responsible for the specular effects is estimated. Optionally, the parameters can be iteratively refined to determine color information and specular reflectance parameters.

Method and apparatus for estimating reflectance parameters and a position of a light source in a scene

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Rennes, France

Philippe Robert