Sony Corporation

Sony Group Corporation

Kentaro Doba

Ryota Kimura

Hiromasa Uchiyama

Yasuhiro Sutou

Toshio Yamazaki

Takuto Motoyama

Hideki Oyaizu

Yasutaka Hirasawa

Ryo Watanabe

Yota Komoriya

Masaki Handa

Takanori Ishikawa

Shinichiro Tsuda

Yasuhide Hyodo

Mikio Nakai

Seungha Yang

Tsutomu Nigami

A novel and improved information processing method, information processing apparatus, and program is proposed which can execute a calibration process with higher accuracy. The information processing apparatus includes: a detection unit configured to detect a feature point from each of images obtained by imaging a subject with a plurality of cameras respectively at a certain timing; and a processing unit configured to execute a process of calibrating at least one of the plurality of cameras by use of the cameras' respective images having the feature point detected by the detection unit, the feature point satisfying a predetermined condition.

Information processing apparatus, information processing method, and program

There is proposed a new and improved information processing apparatus, an information processing method, and a program capable of more simply detecting whether or not a deviation related to a camera parameter has occurred in a plurality of cameras. The information processing apparatus includes a calculator that calculates a three-dimensional position of a feature point on the basis of each of images obtained by imaging a subject at a first timing by a plurality of cameras and an external parameter of the plurality of cameras, the feature point being included in each of the images, a first estimator that estimates a first external parameter on the basis of one image included in the images obtained by imaging the subject at a second timing by the plurality of cameras and the three-dimensional position of the feature point, the first external parameter being an external parameter of a camera that has captured the one image among the plurality of cameras at the second timing, a second estimator that estimates a second external parameter that is an external parameter of any one camera of the plurality of cameras at the first timing on the basis of the first external parameter estimated by the first estimator, and a determiner that determines whether or not a deviation related to the external parameter has occurred in the plurality of cameras on the basis of the second external parameter of any one camera of the plurality of cameras and a previous external parameter of the any one camera, the second external parameter having been estimated by the second estimator.

A laser range finder projects light while changing a direction in a horizontal direction at a predetermined angle with respect to a vertical direction to also receive reflected light of the light, and detects a direction and a distance in which the light is reflected from an obstacle or the like, according to a difference time between a time of light projection and a time of light reception. A normal direction of a flat plane forming a road surface is detected on the basis of a polarized image. The laser range finder projects light such that the light has a predetermined angle with respect to the vertical direction so as to be orthogonal to the normal direction of the flat plane forming the road surface. The laser range finder can be applied to in-vehicle systems.

Control apparatus, control method, program, and moving body

An information processing apparatus capable of detecting a plane constituting a movement-enabling region. A normal direction of a plane constituting a road surface is detected on the basis of polarized images in multiple polarizing directions acquired by a polarization camera. A laser ranging sensor measures a distance to a point on the road surface so as to measure a position of the point. The plane constituting the road surface is identified on the basis of information regarding the normal direction of the plane constituting the road surface and information regarding the position of the point on the road surface.

Information processing apparatus, information processing method, program, and mobile object

The present disclosure relates to a signal processing apparatus and system. In calibration, a sensor section is used to acquire a time of day when a stereo camera image capturing a target is acquired and a time of day when a radar image capturing the target is acquired. The target has a radar reflector and a marker. The image acquisition times of day are acquired while at the same time changing a distance between the sensor section and the target so as to find an amount of time-of-day discrepancy, a difference in time of day between the stereo camera image and the radar image at the same distance. At the time of object detection, the radar image acquired first is buffered and then output together with the stereo camera image acquired by the time-of-day discrepancy later, thus combining the stereo camera image and the radar image.

Signal processing apparatus, signal processing method, program, mobile object, and signal processing system

A subject information acquisition unitacquires imaged subject information indicative of attributes related to illumination for a subject from a taken image. A preset information selection unitselects preset information as illumination setting information for setting an illumination environment according to a user operation. An illumination setting information adjustment unit adjusts the illumination setting information selected by the illumination setting information selection unit to illumination setting information corresponding to the subject on the basis of the imaged subject information acquired by the subject information acquisition unit. By simply selecting the preset information, it is possible to set easily an illumination environment for relighting, for example.

Image processing apparatus and image processing method for setting an illumination environment

Provided is an image processing method including acquiring an original image and position information indicating a position of a viewer in a depth direction with respect to a display unit, acquiring crosstalk information indicating a crosstalk characteristic of the display unit, causing a processor to generate an index map that includes control information indicating a correspondence between respective pixels and a respective viewpoints based on the position information on the basis of the acquired position information and crosstalk information in a manner that, among first viewpoint images different from each other based on the original image corresponding to the respective viewpoints set in advance, one of the first viewpoint images is observed while crosstalk is negated at a position indicated by the position information, and outputting second viewpoint images corresponding to respective pieces of the control information in the index map based on the original image and the index map.

Image processing method, image processing device, and electronic apparatus

There is provided an image processing apparatus including an image processing unit configured to carry out adjustment that makes disparity larger than disparity corresponding to processed images, which are moving images to be processed, based on an amount of change over time in a magnitude of the disparity corresponding to the processed images.

Image processing apparatus, image processing method, program, and electronic appliance

An image processing method includes: calculating a first index value through back matching between a first image and a second image in relation to a first pixel which is one or a plurality of pixels of the first image and a second pixel which is one or a plurality of pixels located at a position corresponding to the first pixel in the second image; calculating a second index value by normalizing a correlation index value indicating correlation between the first pixel and the second pixel using a complexity index value indicating complexity of an image which is displayed by the first pixel; and calculating a third index value by multiplying the first index value by the second index value.

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Tokyo, Japan

Kentaro Doba