Signify Holding B.v.

Koninklijke Philips Corporation N.v.

Philips Lighting Holding B.v.

Samsung Electronics Co., Ltd.

Entropic Communications, Inc.

Signify Holdng B.v.

Wei Pien Lee

Rifat Ata Mustafa Hikmet

Chris Damkat

Bartel Marinus Van De Sluis

Bram Knaapen

Petrus Johannes Hendrikus Seuntiens

Stefan Donivan Twigt

Tim Dekker

Anthonie Hendrik Bergman

Frederik Jan De Bruijn

Bertrand Rigot

Robertus Antonius Jacobus Maria Hovers

Bernardus Hendrikus Wilhelmus Hendriks

Maarten Marinus Johannes Wilhelmus Van Herpen

Bart Andre Salters

Lorenzo Feri

Cornelis Pieter Janse

Harry Broers

Petrus Maria De Greef

Ruben Rajagopalan

Robert Johannes Frederik Homan

Drazenko Babic

Michiel Adriaanszoon Klompenhouwer

Karl Catharina Van Bree

Tommaso Gritti

Caifeng Shan

Peter-Andre Redert

Hendrikus Hubertus Petrus Gommans

Michael Cornelis Van Beek

Erno Hermanus Antonius Langendijk

Stephanus Joseph Johannes Nijssen

Jacobus Petrus Johannes Van Os

Ralph Braspenning

Leon C A Van Stuivenberg

Bahaa Eddine Sarroukh

Matheus Johannus Gerardus Lammers

Erik Boudewijn Van Der Tol

Matheus J G Lammers

Erik B Van Der Tol

Erno H A Langendijk

A tilt detection device uses externally generated electromagnetic signal sources to detect changes in relative orientational positioning of an object. A sensor () monitors intensity characteristics of electromagnetic stimuli received from remotely located sources, and a controller () utilises changes in those characteristics to inform detection and/or measurement of a state of tilting of an object to which the sensor is mounted.

Device and method for detecting tilt of an object

A method for calibrating an ambience lighting system for providing an ambient light effect for a cinema display screen is proposed. The method is based on implementing the ambience lighting system in the form of one or more of coded light (CL) sources. The method then includes processing one or more images of a scene being illuminated by the ambience lighting system to determine, based on the CL embedded into the light output of the individual CL sources, color and/or an intensity of the light generated by the individual CL source. The set of control data for controlling the CL sources to provide the desired ambient light effect is then based not only on the color and/or intensity of image content to be displayed on the cinema display screen, but also on the determined color and/or intensity of the light output of the individual CL sources.

Camera-based calibration of an ambience lighting system

The present invention relates to assisting a user in selecting a lighting device design by providing a lighting device design based on a model or image of a lighting device design (e.g. the user uploading an image of an existing lighting device in his/her home). The lighting device design of the model or image is analyzed in order to determine a lighting device design related variable (e.g. type, shape or color of lighting device design). This variable is then used to select a lighting device design from a set of lighting device designs (e.g. to select a lighting device design of the same color, from an electronic catalogue of lighting device designs); or to generate a lighting device design (e.g. to generate a lighting device design that is a copy of the lighting device design in the image, only smaller and in a different color). The invention further includes a system and computer program product for implementation of this method.

Assisting a user in selecting a lighting device design

The present invention relates to suggesting a lighting device () design to a user, such as in an advertisement for a lighting device design. The suggestion is based on acquiring user interest information relating to the user from a data source such as an online user profile. A lighting device () design related variable (e.g. intensity, colour temperature) is determined based on the acquired user interest information using, for example, a lookup table or rules. A lighting device () design is then provided (e.g. selected or generated) based on the lighting device design related variable and an image () of the provided lighting device () design is displayed.

A lighting aiming system for aiming a stadium lighting system, the lighting aiming system comprising: a luminaire (), the luminaire having a mounting position and an orientation and configured to generate a light beam along an optical axis; a camera () configured to capture an image, the camera () coupled to the luminaire and having a defined relationship between a field of view of the camera and the optical axis; a memory () configured to store lighting information comprising a desired aiming location of the luminaire, and the memory further configured to store feature information comprising an expected location of at least one feature; a processor () configured to determine and output aiming information based on the feature information, lighting information and image to enable a determination on whether the luminaire is correctly aimed.

Stadium lighting aiming system and method

A system for accurately detecting a patient's movement during imaging procedures includes a camera for providing a stream of camera images of a part of a patient's exterior and a fiducial element mountable on part of the patient's exterior. The fiducial element is detectable in the stream of images. An image processor is configured to detect a displacement of the fiducial element based on consecutive images including in at least the stream of images and to generate an output signal indicative of the displacement. The fiducial element has an in-plane stiffness which is substantially larger than an in-plane stiffness of the part of the patient's exterior. In addition, the fiducial element and the part of the patient's exterior are provided with substantially equal outer in-plane dimensions.

System for detecting global patient movement during imaging procedures

The present invention relates to assisting a user in selecting a lighting device () design through receiving an image of a scene, e.g. the user taking a picture using his/her smartphone of his/her living room () and analyzing this image in order to select or generate a lighting device () design. The analysis can comprise determining the presence of a pattern, material or color in the scene and a lighting device () design can be selected (e.g. from an electronic catalog) that comprises a similar pattern, material or color. As another example, a lighting device () design can be generated to match such a pattern, material or color. The invention further comprises a system and computer program product for implementation of this method.

The invention relates to a method for obtaining transformation parameters. A camera motion can be modeled by providing a vector field of motion vectors describing estimated motion vectors, projecting the vector field on at least one axis, and deriving the transformation vector parameters from the projection of the vector fields. As the camera motion can be modeled by way of translation, scale and rotation, the projections of the vector field on the axis can be used.

Calculating transformation parameters for image processing

A sound source location is estimated by particle filtering where a set of particles represents a probability density function for a state variable comprising the sound source location. The method includes determining the weight for a particle in response to a correlation between estimated acoustic transfer functions from the sound source to at least two sound recording positions. A weight update function may specifically be determined deterministically from the correlation and thus the correlation may be used as a pseudo-likelihood function for the measurement function of the particle filtering. The acoustic transfer functions may be determined from an audio beamforming towards the sound source. The audio weight may be combined with a video weight to generate a multi-modal particle filtering approach.

Estimating a sound source location using particle filtering

A method for processing color image data that enables to optimally render a color image on a target device. The method incorporates a color gamut mapping step, where the amount of gamut mapping is adapted dynamically, in dependence of at least a color saturation value of the input pixel. Preferably, also a luminance value of the input pixel is used. The adaptive gamut mapping incorporates correction of saturation, and preferably also hue and white point, of the image data. The color gamut of the target device is used to the fullest possible extent, while clipping and loss of local details in highly saturated areas of the input image is largely prevented.

Method for processing color image data

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Eindhoven, Netherlands

Wei Pien Lee