Sony Corporation

Sony Group Corporation

Yasuhiro Sutou

Toshio Yamazaki

Takuto Motoyama

Hideki Oyaizu

Kentaro Doba

Kenichi Kawasaki

Hiroaki Kitano

Atsushi Okubo

Hideki Shimomura

Kazumi Aoyama

Akichika Tanaka

Taiji Ito

Yoshihiro Takagi

Tetsu Natsume

Koichi Oshima

Hironari Mizumura

Seungha Yang

Midori Kawano

Shotaro Hori

Yasuo Sakuma

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 signal processing apparatus including a first position calculation unit that calculates a three-dimensional position of a target on a first coordinate system from a stereo image captured by a stereo camera, a second position calculation unit that calculates a three-dimensional position of the target on a second coordinate system from a sensor signal of a sensor capable of obtaining position information of at least one of a lateral direction and a longitudinal direction and position information of a depth direction, a correspondence detection unit that detects a correspondence relationship between the target on the first coordinate system and the target on the second coordinate system, and a positional relationship information estimating unit that estimates positional relationship information of the first coordinate system and the second coordinate system on the basis of the detected correspondence relationship.

Signal processing apparatus, signal processing method, and program

A likelihood calculation unit calculates, from information obtained by each of movement detection methods including a movement detection method for detecting a movement amount of an object using an image and one or more different movement detection methods, movement amount likelihoods with regard to which the movement amount of an object is each of a plurality of movement amounts. An integration unit integrates the movement amount likelihoods according to the plurality of movement detection methods to determine integration likelihoods individually of the plurality of movement amounts. The present technology can be applied, for example, to a case in which a movement amount of an object is determined and a driver who drives an automobile is supported using the movement amount.

Information processing apparatus, information processing method and program

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

The present technology relates to an information processing apparatus, an information processing method and a program that make it possible to determine a distance to an object with high accuracy. A likelihood calculation unit calculates, from information obtained by each of a plurality of distance measurement methods, distance likelihoods with regard to which the distance to an object is each of a plurality of distances. An integration unit integrates the distance likelihoods according to the plurality of distance measurement methods to determine integration likelihoods each of the plurality of distances. The present technology can be applied, for example, to a case in which a distance to an obstacle is determined and a driver who drives an automobile or the like is supported using the distance or to a like case.

The present technology relates to an information processing apparatus, an information processing method, and a program for suppressing the occurrence of false recognition. A road surface region estimating section estimates a road surface region in a first image captured of a predetermined imaging range. A non-polarized region extracting section extracts a non-polarized region from a second image captured of the imaging range. A low-confidence level region estimating section estimates a low-confidence level region for an object with a low first confidence level obtained by a first sensor within a measurement range of the first sensor in the imaging range on the basis of information indicating the road surface region and the non-polarized region. A weight calculating section calculates a weight on the first confidence level on the basis of the first confidence level, a second confidence level of the object obtained by a second sensor in the imaging range, and information indicating the low-confidence level region. A presence likelihood calculating section calculates presence likelihood of the object at different distances within the imaging range on the basis of the first confidence level, the second confidence level, and information indicating the weight. The present technology is applicable to a vehicle-mounted distance estimating apparatus.

Provided is an image processing device including an acquisition unit configured to acquire information on an imaging position and an imaging direction in units of frame images that constitute a moving image obtained through capturing by an imaging unit, a converted image generation unit configured to generate converted images having different imaging directions for each frame image that constitutes the moving image based on the frame image itself and preceding and succeeding frame images of the frame image, an evaluation value calculation unit configured to calculate an evaluation value for each converted moving image constituted by combining the converted image and the original frame image, the evaluation value being used to evaluate a blur between the converted images or between the original frame images, and a selection unit configured to select a converted moving image with less blur based on an evaluation value calculated by the evaluation value calculation unit.

Image processing device and method, and program for correcting an imaging direction

[Object] To associate information generated on the basis of an activity that is carried out by a user with respect to a content with the content, thereby effectively using the information. [Solution] Provided is an information processing apparatus including: an activity detection unit configured to detect an activity of a user who currently plays back a content; a tag generation unit configured to generate tag information on the basis of information on the activity; and a tag association unit configured to associate the tag information with one or more positions in the content, the one or more positions corresponding to the activity.

Information processing apparatus and information processing method

There is provided an information processing apparatus including a processor configured to cause a display to show a screen, the screen including an input area which accepts a text input or a drag & drop input performed by a user, a first icon which is associated with the input area and executes a first operation based on an input accepted by the input area, a second icon which is associated with the input area and executes a second operation based on an input accepted by the input area, the second operation being different from the first operation, a first display area for information acquired by the first operation, and a second display area for information acquired by the second operation.

Information processing apparatus and information processing method for utilizing various cross-sectional types of user input

Image processing device and method, and program for correcting a blurred moving image

There is provided an image processing device including a correction unit that searches for an approximate pixel which approximates an occlusion pixel in one parallax map between right-eye and left-eye parallax maps based on the other parallax map and calculates a correction parallax vector of the occlusion pixel based on a parallax vector of the approximate pixel.

Growing community of inventors

Kanagawa, Japan

Yasuhiro Sutou