A stereo-endoscope for observation and analysis of an object, comprising a shaft with distal and proximal ends, illuminating means for illuminating the object, and stereoscopic imaging means which transfer light radiated by the object from the distal end to the proximal end. Light of a first imaging channel is fed into a first sensor, and light of a second imaging channel is fed into a second sensor. Both sensors contain mutually different beam splitters, which split the light into four light beams. One light beam from each of the sensors is deflected onto one sensor each; these two sensors are identical. The signals detected there are assembled to form a stereoscopic image. The stereo-endoscope comprises mutually different manipulating means for the other two light beams; by means of suitably-tuned image-processing algorithms, two different monoscopic images containing information complementary to each other and to the stereoscopic image are generated.

Systems and methods are disclosed and an example system includes a digital image receiver for receiving a digital image, and an automatic obscuration processor coupled to the image receiver and configured to determine whether the digital image includes a region that classifies as an image of a category of object and, upon a positive determination, to obscure the region and output a corresponding obscured-region digital image.

An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Disclosed is an electronic device which includes a processor, and a memory that stores instructions and at least one images. The instructions, when executed by the processor, cause the electronic device to: classify the at least one images into at least one image group, based on meta information of the at least one image; identify tag information about at least one object of first images in a first image group of the at least one image group; identify place information about the first images, based on the tag information; and correct meta information of the first images, based on the identified place information.

Disclosed is an electronic device which includes a processor, and a memory that stores instructions and at least one images. The instructions, when executed by the processor, cause the electronic device to: classify the at least one images into at least one image group, based on meta information of the at least one image; identify tag information about at least one object of first images in a first image group of the at least one image group; identify place information about the first images, based on the tag information; and correct meta information of the first images, based on the identified place information.

Color and exposure matching for systems, such as a videoconferencing endpoint, that have overlapping camera fields of view. The geometric relationships between the overlapping cameras are used to determine correction processing. For each camera, histograms are developed for the overlapping cameras. A dynamic threshold is determined for each histogram. Using the dynamic threshold, peak detection is performed on each histogram. Using the geometric relationships, expected histogram relationships are determined. The actual histogram relationships are compared to the expected relationships, with further processing based on the correctness of the comparison. In some of the cases of further processing, peaks of the histograms are compared to find matching and non-matching peaks. Various ratios of pixels in the various peaks are used to determine needed changes to respective cameras. Incremental changes to camera outputs are provided and accumulated so that overall changes can be provided to adjust the output of the respective cameras.

Color and exposure matching for systems, such as a videoconferencing endpoint, that have overlapping camera fields of view. The geometric relationships between the overlapping cameras are used to determine correction processing. For each camera, histograms are developed for the overlapping cameras. A dynamic threshold is determined for each histogram. Using the dynamic threshold, peak detection is performed on each histogram. Using the geometric relationships, expected histogram relationships are determined. The actual histogram relationships are compared to the expected relationships, with further processing based on the correctness of the comparison. In some of the cases of further processing, peaks of the histograms are compared to find matching and non-matching peaks. Various ratios of pixels in the various peaks are used to determine needed changes to respective cameras. Incremental changes to camera outputs are provided and accumulated so that overall changes can be provided to adjust the output of the respective cameras.

A method and an apparatus for determining a connection relation of subspaces, and a non-transitory computer-readable recording medium are provided. In the method, a plurality of sets of panoramic images respectively corresponding to two respective adjacent subspaces are obtained. Each set of the panoramic images includes two first panoramic images, and a second panoramic image photographed at a connection opening. Orientations of the connection openings are determined based on positions of the connection openings, and orientations of a camera. Relative positions of the two adjacent subspaces are determined based on correspondence relations between the two first panoramic images and parts of the respective second panoramic images. The connection relation of the subspaces is determined based on the connection relation determined based on the same subspace, the orientations of the connection openings, and the relative positions of the two adjacent subspaces.

An imaging device includes: a first image sensor comprising first pixels that receive incident light, and that include a first and second photoelectric conversion units that are arranged in a first direction; and a second image sensor including second pixels that receive light that has passed through the first image sensor, and that include a third and fourth photoelectric conversion units that are arranged in a second direction that is different from the first direction.