Abstract: The present technique relates to an apparatus and a method for measurement, and a program each of which enables distance estimation to be more simply carried out with higher accuracy. A three-dimensional measurement apparatus has a rotation control portion controlling rotation of a photographing portion by a rotation mechanism in such a way that the photographing portion is rotated with a center of rotation as an axis in a state in which a distance from the center of rotation of the rotation mechanism portion to a focal point position of the photographing portion is a constant distance; and a distance calculating portion calculating a distance to an object on a space on the basis of a plurality of photographed images obtained through photographing in positions different from one another by the photographing portion in a state in which the photographing portion is rotated.

Abstract: This technology relates to a signal processing apparatus and a signal processing method for obtaining the relative positional relations between sensors with higher accuracy. A positional relation estimating part of the signal processing apparatus estimates positional relations between a first coordinate system and a second coordinate system, on the basis of corresponding relations between multiple planes in the first coordinate system obtained by a first sensor on the one hand and multiple planes in the second coordinate system obtained by a second sensor on the other hand. This technology may be applied, for example, to the signal processing apparatus that estimates the positional relations between the first and the second sensors having significantly different levels of spatial resolution.

Abstract: 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.

Abstract: 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.

Abstract: The present technology relates to an information processing apparatus, an information processing method and a program that make it possible to determine a movement amount of an object with high accuracy. 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 or the like is supported using the movement amount or to a like case.

Abstract: The present technique relates to an apparatus and a method for measurement, and a program each of which enables distance estimation to be more simply carried out with higher accuracy. A three-dimensional measurement apparatus has a rotation control portion controlling rotation of a photographing portion by a rotation mechanism in such a way that the photographing portion is rotated with a center of rotation as an axis in a state in which a distance from the center of rotation of the rotation mechanism portion to a focal point position of the photographing portion is a constant distance; and a distance calculating portion calculating a distance to an object on a space on the basis of a plurality of photographed images obtained through photographing in positions different from one another by the photographing portion in a state in which the photographing portion is rotated.

Abstract: The present technology relates to a signal processing apparatus, a signal processing method, and a program that enable calibration with high precision.

Abstract: The present disclosure relates to a signal processing apparatus, a signal processing method, a program, and an object detection system that enable an object detection to be accurately performed. A stereo camera performs imaging by a right camera and a left camera to thereby acquire a stereo image and a millimeter wave radar acquires a radar image in which a position of an object is detected in a radiation range of millimeter waves by using millimeter waves that are radio waves of a millimeter wave band. Then, by communication via a communication apparatus with a target in which positional information is known, it is determined whether or not the target is reliable, and in a case where it is determined that the target is reliable, calibration processing is performed for eliminating a deviation in coordinate systems generated in the stereo image and the radar image in which the target is detected.

Abstract: The present technology relates to an information processing apparatus and an information processing method that enable enhancement of the accuracy in the recognition of locations of a moving body.

Abstract: 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.

Abstract: 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.

Abstract: A pull-down pattern detection portion detects a pull-down pattern in an input image on which pull-down has been performed. Based on the pull-down pattern and on a first frame frequency that is a frame frequency of the input image, a frame frequency calculation portion calculates a second frame frequency that is a frame frequency of an original image before the pull-down has been performed on the input image. The present technology can be applied to an image processing device that performs frame rate conversion of the input image on which pull-down processing has been performed using a predetermined pull-down pattern.

Abstract: There is provided a signal processing device including a measured value acquisition unit configured to acquire a measured value for a feature quantity, the feature quantity having an influence on an estimation of a motion that appears in each frame of an input video signal, a determination unit configured to, on the basis of the measured value acquired by the measured value acquisition unit, determine a characteristic of a filter to be applied to the input video signal, and a filtering unit configured to generate a video signal for use in the estimation of a motion by applying to the input video signal a filter with the characteristic determined by the determination unit.