Abstract: The present invention relates to assisting a user in selecting a lighting device (408) design through receiving an image of a scene, e.g. the user taking a picture using his/her smartphone of his/her living room (410) and analyzing this image in order to select or generate a lighting device (408) design. The analysis can comprise determining the presence of a pattern, material or color in the scene and a lighting device (408) design can be selected (e.g. from an electronic catalogue) that comprises a similar pattern, material or color. As another example, a lighting device (408) 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.

Abstract: 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.

Abstract: 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.

Abstract: The invention provides a system (102) for accurately detecting a patient's (114) movement during imaging procedures. The system comprises a camera (126) for providing a stream of camera images of a part of a patient's exterior (206). The system (102) furthermore comprises a fiducial element (116), which fiducial element (116) is mountable on said part of the patient's exterior (206), and which fiducial element (116) is detectable in the stream of camera images, and an image processor (128) for detecting a displacement of the fiducial element based on consecutive camera images comprised in at least the stream of camera images and for generating an output signal (129) indicative for said displacement. Herein, the fiducial element (116) has an in-plane stiffness which is substantially larger than an in-plane stiffness of said part of the patient's exterior. In addition, the fiducial element (116) and said part of the patient's exterior are provided with substantially equal outer in-plane dimensions.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention relates to a method of searching for a global motion vector associated with a picture of a video sequence, said method comprising the steps of computing (PROJ) projections of pictures (f) along a predetermined axis; determining (PRED) a prediction (vpred(k)) of a current global motion vector formula (I) associated with a current projected picture (F(k)) based on at least one previous global motion vector associated with at least one previous projected picture; determining (SS) a motion vector search set based on the predicted current global motion vector; computing (CAL) a distortion value between a previous projected picture (F(k?1)) shifted of a candidate motion vector (v;(k)) along the predetermined axis and a next projected picture (F(k+r)), said computing step being iterated for the different candidate motion vectors of the motion vector search set, the current global motion vector being the candidate motion vector that minimizes the distortion value.