Sony Corporation

Sony Semiconductor Solutions Corporation

Sony Deutschland Gmbh

Sony Group Corporation

Yalcin Incesu

Oliver Erdler

Piergiorgio Sartor

Muhammad Siddiqui

Alexander Gatto

Masahiro Ito

Takuto Motoyama

Henrik Schäfer

Altfried Dilly

Volker Freiburg

Pietro Zanuttigh

Chao Huang

Masaru Suzuki

Lev Markhasin

Gianluca Agresti

Tomoki Ueda

Hiroki Yamashita

Felix Raimbault

Joerg Tappermann

Provided is an information processing apparatus including a first acquisition unit, a second acquisition unit, and an estimation unit. The first acquisition unit acquires first sensing information obtained by capturing an image of a subject using a first sensor including a single-plate image sensor. The second acquisition unit acquires second sensing information obtained by sensing a direction different from a direction of the first sensor using second sensor. The estimation unit estimates the spectral reflectance of the subject based on the first sensing information and the second sensing information.

Information processing apparatus, imaging system, and information processing method

The present disclosure generally pertains to a polarization imaging portion having a plurality of imaging elements, wherein each imaging element is configured to convert light into an electric signal, the polarization imaging portion further including: a set of event sensors configured to detect an event being indicative of an intensity change of the light; a set of polarization filters; and a set of tunable polarizers configured to adjust a polarization of the light in response to an electric signal, wherein each polarization filter of the set of polarization filters is associated with a respective tunable polarizer of the set of tunable polarizers, thereby configuring a set of tunable polarization filters, such that the set of tunable polarization filters is associated with the set of event sensors.

Polarization imaging device and method for polarization imaging

The present disclosure generally pertains to time-of-flight simulation data training circuitry, configured to:

Time-of-flight simulation data training circuitry, time-of-flight simulation data training method, time-of-flight simulation data output method, time-of-flight simulation data output circuitry

An image processing device has circuitry, which is configured to obtain image data, the image data being generated on the basis of a non-linear mapping defining a mapping between an object plane and an image plane; and to process the image data by applying a kernel of an artificial network to the image data based on the non-linear mapping.

Image processing device, image processing method and object recognition system

An apparatus comprising a spectral filter () with a variable spectral filter transmission (FT(&#x3bb;)); an event-based imaging sensor () configured to produce measurement events (y, y, . . . , y) which correspond to a change in a filter response (Y(t)) that is generated by an observed spectrum (X(&#x3bb;)), and a processor () configured to control the filter transmission (FT(&#x3bb;)) of the spectral filter () so that it sweeps over wavelength (&#x3bb;) with time (t), and to generate an estimation (X*(&#x3bb;)) of the observed spectrum (X(&#x3bb;)) based on the measurement events (y, y, . . . , y) that correspond to the filter response (Y(t)) and based on the filter transmission (FT(&#x3bb;)).

Apparatus and method

A video coding apparatus for encoding a compressive sensing signal has a processor. The processor

Video encoding and decoding apparatus, system and method

A right image and a left image is provided. Then a disparity estimation map relating to both images is provided and a left subtitle detection map for the left image and a right subtitle detection map for the right image are generated. Each map indicates subtitle areas within an image. For said subtitle areas and based on said disparity estimation map a subtitle disparity value for X and Y directions common for all subtitle areas is determined. Said left and right subtitle maps and said subtitle X and Y disparity values are used in an image interpolation process.

Subtitle detection for stereoscopic video contents

A method for stabilizing a first sequence of digital image frames is provided including determining a dominant motion vector of a dominant motion layer of said sequence; determining a first part of the dominant motion vector representative of an intended motion in said sequence; determining a second part of the dominant motion vector representative of an unintended motion in said sequence; and generating a second sequence from the first sequence based on the second part. A corresponding image stabilization unit is provided as well.

Method for stabilizing a first sequence of digital image frames and image stabilization unit

The present invention relates to a method for providing reliable motion vectors, comprising the steps of determining motion vectors between two image frames with backward and forward estimation, comparing backward estimation motion vectors and forward estimation motion vectors, and detecting unreliable motion vectors based on the comparison result. The present invention further relates to a system for providing reliable motion vectors.

Method and system for providing reliable motion vectors

A method for motion estimation with respect to a sequence of images. Respective updates are generated based on predictor vectors. The updates are distributed over a plurality of tables, which are organized in a plurality of table sets. Only a single table of updates, of a respective selected table set, is applied to a given predictor vector to generate a limited set of candidate vectors only. For a subsequent predictor vector, a further single table of the plurality of tables out of the plurality of table sets is applied.

Method for motion estimation

A method and apparatus for motion estimation of at least a first and a second image frame by estimating at least one motion vector correlating a portion of pixels of the at least first and second image frame, the first and second image frame being part of an image frame sequence. The at least one motion vector is obtained by a predominant motion detection generating at least one global motion vector based on at least one previously determined motion vector, the previously determined motion vector correlating a portion of pixels of earlier image frames of the image frame sequence, and an estimation estimating the at least one motion vector based on the at least one global motion vector.

Method and apparatus to improve the convergence speed of a recursive motion estimator

A method for discriminating textured regions and homogeneous or flat regions in an image. A multi-scale or multi-resolution measurement is performed with respect to the image. Alternatively or additionally, the image is analyzed by using a prior measured noise value and a local variance value in or with respect to the image.

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Stuttgart, Germany

Yalcin Incesu