A marker generating method is provided for facilitating the finding of positions which correspond to one another among a plurality of images associated with a video signal. A position within an image (800) associated with a video signal is selected, with a cursor (802, 804) to display a marker (812, 822-826) at a position corresponding to the selected position, in a different image (810, 820) associated with the video signal.

A marker generating method is provided for facilitating the finding of positions which correspond to one another among a plurality of images associated with a video signal. A position within an image (800) associated with a video signal is selected, with a cursor (802, 804) to display a marker (812, 822-826) at a position corresponding to the selected position, in a different image (810, 820) associated with the video signal.

A pattern extracting device, an image projecting device, a pattern extracting method, and a program capable of extracting all the feature points by interpolating defective feature points even when there are defective feature points of an image pattern. The pattern extracting device extracts feature points to be interpolated based on a captured image of a projected image pattern, and interpolates the feature point to be interpolated by using near-by feature points that are located near the feature point, divides the near-by feature points into groups, calculates extrapolation coordinates of the groups, and calculates coordinates of the feature point to be interpolated in view of significance of the extrapolation.

Systems and methods in accordance with embodiments of the invention actively align a lens stack array with an array of focal planes to construct an array camera module. In one embodiment, a method for actively aligning a lens stack array with a sensor that has a focal plane array includes: aligning the lens stack array relative to the sensor in an initial position; varying the spatial relationship between the lens stack array and the sensor; capturing images of a known target that has a region of interest using a plurality of active focal planes at different spatial relationships; scoring the images based on the extent to which the region of interest is focused in the images; selecting a spatial relationship between the lens stack array and the sensor based on a comparison of the scores; and forming an array camera subassembly based on the selected spatial relationship.

In a failure detecting apparatus, acquiring unit acquires a plurality of images captured by a plurality of imaging devices in which exposures thereof are capable of being individually controlled. The plurality of images including an overlapped region that represents a region where images are overlapped. The region extracting unit extracts a plurality of overlapped regions from the plurality of images acquired by the acquiring unit. The feature extracting unit extracts features of image from the plurality of overlapped regions extracted by the region extracting unit. Further, the comparing unit compares the features of image between the plurality of overlapped regions and the similarity determining unit determines whether or not the features of image are similar based on a result of comparing by the comparing unit. The failure determining unit determines a failure in the imaging device when the similarity determining unit determines the features of image are not similar.

A camera module aligning method includes the following steps. Firstly, a reference chart having plural chart characteristic points is provided. Then, a camera module is used to shoot the reference chart, and an installation position and an installation posture of the camera module are acquired according to an internal parameter matrix and an external parameter matrix. When the camera module shoots the reference chart and an image is formed on an imaging plane of the camera module, a relationship between at least one image characteristic point of the image and the corresponding chart characteristic point complies with a standard relationship. The standard relationship is defined by the internal parameter matrix and the external parameter matrix.

A camera module aligning method includes the following steps. Firstly, a reference chart having plural chart characteristic points is provided. Then, a camera module is used to shoot the reference chart, and an installation position and an installation posture of the camera module are acquired according to an internal parameter matrix and an external parameter matrix. When the camera module shoots the reference chart and an image is formed on an imaging plane of the camera module, a relationship between at least one image characteristic point of the image and the corresponding chart characteristic point complies with a standard relationship. The standard relationship is defined by the internal parameter matrix and the external parameter matrix.

A system and method for colorimetric calibration is described herein. A system for performing color calibration is described, comprising at least one broad spectrum light emitting diode, at least one light diffuser plate, at least one interference filter, and a camera, the camera comprising at least one sensor for detection of colors, wherein a spectral response within 5% error of a ground truth method can be achieved. A method for performing color calibration is described, comprising transmitting light from at least one broad spectrum light emitting diode, scattering light with at least one light diffuser plate, filtering light with at least one interference filter, detecting light at a camera sensor, mapping an intensity value for each pixel of the camera sensor, and creating a quantum efficiency curve for each of red, green, and blue channels.

A system and method for colorimetric calibration is described herein. A system for performing color calibration is described, comprising at least one broad spectrum light emitting diode, at least one light diffuser plate, at least one interference filter, and a camera, the camera comprising at least one sensor for detection of colors, wherein a spectral response within 5% error of a ground truth method can be achieved. A method for performing color calibration is described, comprising transmitting light from at least one broad spectrum light emitting diode, scattering light with at least one light diffuser plate, filtering light with at least one interference filter, detecting light at a camera sensor, mapping an intensity value for each pixel of the camera sensor, and creating a quantum efficiency curve for each of red, green, and blue channels.

The invention relates to a method for determining a start of relaxation (t.sub.R) when switching over an optical display device (1) controllable pixel by pixel from a burn-in image (EB′) to a relaxation image (RB), wherein. A trigger image area (TB) having at least one image pixel is set to pixel values such that a parameter determined based on the at least one pixel value across the trigger image area (TB) differs between the burn-in image (EB′) and the relaxation image (RB). The local distribution of a greyscale value is continuously recorded by means of a camera (3, 13). A trigger subfield (20) comprising at least one sensor pixel (15) is defined matching the trigger image area (TB). A trigger parameter (T) is continuously determined from the pixel values of the at least one sensor pixel (15) in the trigger subfield (20) with a trigger clock rate and the start of relaxation (t.sub.R) is determined as the point in time at which the continuously determined trigger parameter (T) crosses the trigger threshold value (T.sub.S). The invention furthermore relates to a device and a method for determining the burn-in behavior of a display device (1) as well as the use of such a method for a display (1) determined for application in a vehicle.