Thomson Licensing

Robert Boschgmbh

Thomson Licensing S.a.

Markus Schlosser

Hermann Buddendick

Ralf Ostermann

Dirk Gandolph

Joern Jachalsky

Ulrich Schreiber

Jobst Horentrup

Mario Sieck

Jörn Jachalsky

Lorenzo Sorgi

Jobst Hoerentrup

Carsten Herpel

Bodo Rosenhahn

Wolfram Putzke-Roeming

Bjoern Scheuermann

Jorn Jachalsky

Xavier Good

Jorge Lacasa

Philipp Hyllus

A method for checking the plausibility of an initially known transverse movement of an object. The method includes: emission of a radar signal having constant signal frequency, and reception by a radar device of reflections of the radar signal having constant signal frequency; and checking the plausibility of the transverse movement of the object by analyzing frequency ranges corresponding to the transverse movement in a spectrum of the reflected radar signal having constant signal frequency.

Method and device for checking the plausibility of a transverse movement

A method for detecting misalignment of a radar sensor positioned on a vehicle. A Doppler spectrum for the radiation emitted and received by the radar sensor is ascertained. For at least one frequency bin of the Doppler spectrum, an angle of incidence is determined in at least a subinterval. The determined angle of incidence is compared to the angle of incidence expected for the frequency bin. A misalignment of the radar sensor is detected as a function of the difference of the measured angle of incidence from the expected angle of incidence.

Method for ascertaining misalignment of a radar sensor

A system for detecting a moving object, having: a radar device for receiving at least one signal reflected by the object under at least one angle; and a processing unit for ascertaining at least one relative velocity and at least one angle for each ascertained relative velocity between the radar device and the object; a micro-Doppler analysis for the signals received from the object being able to be performed with the processing unit; the micro-Doppler analysis being performed based on angles determined for the received signals; and a type of the object being ascertainable with the performed micro-Doppler analysis.

System for using FMCW and CW to detect a moving object

A system for scanning an object from the direction of a motor vehicle includes a first radar device for scanning a first item of information of the object that includes a distance, a first object angle, and a first relative velocity; a periodic continuous-wave radar device for scanning a second item of information of the object, which includes a second relative velocity and a second object angle; and a processing device for allocating the first and the second items of information with regard to the same object; and for classifying the object on the basis of a characteristic of the second relative velocity.

Method and system for scanning an object

An FMWC radar sensor for motor vehicles, having a high-frequency oscillator, which is developed to generate a frequency-modulated transmit signal that has a periodically repeating series of modulation sequences having different modulation patterns, and having an evaluation device for evaluating the received radar echo according to the FMCW principle, wherein the series of the modulation sequences includes a special class of modulation sequences whose duration is longer than that of any other modulation sequence not belonging to this class and whose frequency swing is smaller than that of any other modulation sequence, and the evaluation device is developed to carry out a measurement of the ego velocity of the vehicle on the basis of a radar echo that is received from non-moving objects during the modulation sequences that belong to the special class.

FMCW radar sensor for motor vehicles

A method and an apparatus for removing outliers from a main view of a scene during 3D reconstruction of a scene from multiple views of the scene. A 3D projection unit projects a 3D point of a pixel of the main view into neighboring views. A comparator then compares the distance of each of the projected 3D points in the neighboring views to the 3D point of the main view with a defined distance threshold. Based on the comparison a flagging unit assigns flags to the pixel in the main view. Finally, depending on values of the flags a rejecting unit rejects the pixel in the main view as an outlier.

Method and apparatus for removing outliers from a main view of a scene during 3D scene reconstruction

The invention relates to a method and an apparatus for determining a disparity value for an object located in or to be placed into a stereoscopic image pair having an associated disparity map. First an area to be analyzed in one of the stereoscopic images is determined Then a histogram is built from disparity estimates of the associated disparity map that fall within the determined area. Subsequently a contiguous range of bins is searched in the histogram that also contains a sufficient number of pixels. Finally, a disparity estimate for the determined area is selected from the contiguous range of histogram bins.

Apparatus and method for determining a disparity estimate

A video processing apparatus and a method for detecting a temporal synchronization mismatch between at least a first and a second video stream of a stereoscopic video content are described. An eye blink of a creature that is imaged in the video content is detected. The temporal synchronization mismatch is determined by determination of a temporal offset between the reproduction of an eye blink in the first video stream and the reproduction of said eye blink in the second video stream.

Apparatus and method for detecting a temporal synchronization mismatch between a first and a second video stream of a 3D video content

A method and an apparatus for filtering an image using a guided image filter are described. A filter computes a filtering output using a guidance image. For calculating the filtering output confidence values associated to a filter input are taken into account. A confidence-weighted averaging is performed using the confidence values.

Method and apparatus for filtering an image using a guidance image

A method and an apparatus for generating a confidence map for a disparity map associated to a set of two or more images are described. Motion between at least two subsequent sets of two or more images is determined. Based on the determined motion information static and dynamic regions in the images of the sets of two or more images are detected and separated. A disparity change between a disparity value determined for a static region of a current image and a motion compensated disparity value of a previous image is determined. The result of the determination is taken into account for generating or refining a confidence map.

Spatio-temporal confidence maps

A circuit for correcting the output of an audio level meter comprises input means for generating the square or the absolute value of an input signal, a low pass filter having a predetermined attack time and release time, and output means for converting the output signal from a linear scale to a logarithmic scale. The circuit further comprises a correction means to which an information about whether the input signal to the audio level meter was subject to squaring or converting into an absolute value at the input, as well as the attack and release time of the low pass filter, are supplied as input values, and which provides, at its output, a value representing the difference between the output of the audio level meter and the true signal power of the input signal.

Audio level meter

A method for determining an alpha value for a candidate pixel of an image in an alpha matting process and an apparatus configured to perform the method are described. A selecting unit selects two or more pairs of foreground pixels and background pixels. A calculating unit calculates for each pair of foreground pixel and background pixel an associated alpha value based on a color of the foreground pixel and a color of the background pixel, as well as a probability function based on the associated alpha value. The probability function is modeled by assuming two or more characteristics of the pixels as statistically independent. A determining unit determines the pair of foreground pixel and background pixel with the highest value of the probability function. A setting unit then sets the alpha value for the candidate pixel to the associated alpha value of the determined pair of foreground pixel and background pixel.

Method and apparatus for determining an alpha value

A method for generating a confidence map comprising a plurality of confidence values, each being assigned to a respective disparity value in a disparity map assigned to at least two stereo images each having a plurality of pixels, wherein a single confidence value is determined for each disparity value, and wherein for determination of the confidence value at least a first confidence value based on a match quality between a pixel or a group of pixels in the first stereo image and a corresponding pixel or a corresponding group of pixels in the second stereo image and a second confidence value based on a consistency of the corresponding disparity estimates is taken into account.

Confidence map, method for generating the same and method for refining a disparity map

A method and an apparatus for bilayer image segmentation are described. A set of segmentation seeds for the image is generated by analyzing a depth histogram of the image. Then a segmentation map is generated by minimizing an objective function, which models a directed flow from the foreground segmentation seeds towards the background segmentation seeds.

Method and apparatus for bilayer image segmentation

A method and an apparatus for recovering a component of a distortion field of an image of a set of multi-view images are described. Also described are a method and an apparatus for determining a disparity field of an image of a set of multi-view images, which makes use of such method. In a first step pixel correspondences between the image and another image of the set of multi-view images are determined. A disparity field is then determined from at least a subset of the determined pixel correspondences. The disparity field is smoothed and the component of the distortion field is estimated from the smoothed disparity field. When determining a second disparity field the estimated component of the distortion field is taken into account when determining pixel correspondences between the image and another image of the set of multi-view images.

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Hannover, Germany

Markus Schlosser