An image projecting apparatus including an optical output unit for projecting and image, a camera, a plurality of sensors, and a processor is disclosed. The processor is configured to: identify, based on sensing data received through the plurality of sensors, a distance between each of the plurality of sensors and a projection surface, provide, based on a difference between the identified distances being greater than or equal to a pre-set threshold value, a user interface configured to guide a direction adjustment of the image projecting apparatus, and identify, based on a difference between the identified distances being less than the pre-set threshold value, a shape of a projected image by photographing, using the camera, an image projected to the projection surface, and control the optical output unit to project an image corrected based on the identified shape.

The disclosure provides a projection system and a gamma curve correction method. The projection system includes a projection target and a projection device. A test image is projected on the projection target. The projection device obtains a first gamma curve of the test image by receiving the test image projected on the projection target or sensing a light beam of the projected test image, and judges whether multiple difference values between the first gamma curve and a preset gamma curve is larger than a preset value. The first gamma curve is corrected to generate a second gamma curve when at least one of the difference values is larger than the preset value. The projection system and the gamma curve correction method of the disclosure provides an ideal gamma curve according to the output performance of the use situation.

A projector controlling method including projecting a pattern image, capturing an image of the pattern image with an image sensor to acquire captured pattern image data, determining based on the captured pattern image data a flat surface range where a flat surface is present within the range over which the pattern image is projected, generating an on-screen-display superimposed image in such a way that the superimposed image is selectively projected within the flat surface range, and projecting the superimposed image.

The present invention aims to make it possible to detect deterioration of a housing of a projection apparatus and to notify a user of the deterioration of the housing. The projection apparatus includes a projected image processing unit which registers a deformation parameter as an initial value in a case where the deformation parameter for a projected image is set as an initial setting to be made at the time of installation of the projection apparatus as a registration control unit. In a case where the deformation parameter for the projected image is adjusted by a user operation after the initial setting is made, the projected image processing unit decides whether an adjustment degree that the deformation parameter is adjusted from the initial value reaches a predetermined threshold value as a decision unit. In addition, in a case where the adjustment degree reaches the predetermined threshold value, the projected image processing unit gives a warning to the user at a predetermined timing as a notification control unit.

A method and device for homogenizing images of projectors is provided, and includes: projecting a first test pattern on respective projection images of projectors, projection images between a first and a second projectors among the projectors having an overlapping area, and the first test pattern having grid lines; selecting, in the grid lines of the first test pattern on the projection image of the first projector, an inner and an outer boundaries of the overlapping area of the first projector; selecting, in the grid lines of the first test pattern on the projection image of the second projector, an inner and an outer boundaries of the overlapping area of the second projector; gradually reducing a brightness from the inner to the outer boundaries of the overlapping area of the first projector; gradually reducing a brightness from the inner to the outer boundaries of the overlapping area of the second projector.

A method and a system for inspecting a display image are provided. A test image is displayed on a display surface through a display device. An optical inspection image is generated by photographing the test image on the display surface by an image capturing device. A brightness channel image and a color channel image of the optical inspection image are obtained by performing color space transformation on the optical inspection image. Background estimation is applied to the color channel image to obtain a color channel background image. At least one color nonuniformity region in the test image is obtained by respectively comparing an inspection reference value with multiple color component pixel values of the color channel background image.

Provided is a computation method for obtaining information suitable for positional deviation correction and lens blur correction for a case where a part of or an entire projection image projected by each of a plurality of projectors is displayed in a superimposed manner. For this purpose, a light intensity distribution indicating a degree of lens blur of a base projector and peak coordinates of the light intensity distribution are calculated using a captured image obtained by capturing a test pattern projected by the base projector in an arrangement state in which a plurality of projectors is arranged such that a part of or an entire projection image projected by each of the plurality of projectors is displayed in a superimposed manner. Further, a light intensity distribution centered on the peak coordinates on the base projector side and corresponding to a degree of lens blur of a referencing projector is calculated using a captured image obtained by capturing the test pattern projected by the referencing projector in the same arrangement state. As a result, information indicating the degree of lens blur of the base projector and information corresponding to positional deviation and the degree of lens blur of the referencing projector are obtained.

The present technology relates to a signal processing device and method, and a program that enable easier and more accurate failure detection. The signal processing device includes: an addition unit that adds test data for failure detection to valid data on which predetermined processing is to be performed, two or more samples processed in parallel in different paths having a same sample value in the test data; and a signal processing unit that performs the predetermined processing on the valid data and the test data that has been added to the valid data by a plurality of the paths. The present technology can be applied to in-car cameras.

An information processing device which controls one projector and another projector includes: a display unit which displays a first operation screen for managing the one projector and a second operation screen for managing the another projector; an input unit which accepts an operation on the first operation screen and the second operation screen; and a control unit which controls the one projector and the another projector, based on the operation accepted by the input unit. When the information processing device is switched from a first state where the first operation screen is operable to a second state where the second operation screen is operable, the control unit causes the second operation screen where an item corresponding to a predetermined item selected on the first operation screen in the first state is selected, to be displayed in the second state.

An artifact upon imaging degrades sensing accuracy of a projection image. An information processing device that develops a captured image thus performs interpolation processing using interpolation direction information according to a test pattern projected by a projection device. In other words, the interpolation processing of pixel information in an interpolation direction according to the obtained interpolation direction information is performed with respect to an image signal obtained by capturing the projection image of the test pattern. This can suppress the artifact and improve the sensing accuracy.