A method and a circuitry for exposure compensation applied to a high dynamic range video are provided. The circuitry is adapted to an image-acquisition device. In the method, when a video is received, the pixel values for each of the sequential frames can be obtained. Next, an exposure value ratio between two adjacent frames is obtained. A processor exposure value ratio of an image signal processor can be regarded as an initial exposure value ratio. A fixed adjustment ratio is used to control the image signal processor and an image sensor of the image-acquirement device so as to calculate an exposure value ratio for each of the frames. The exposure value ratio is referred to for performing the high dynamic range compensation for the frames so as to output an HDR video.

A display system (1) includes a display (D1) installed on a first road (R1) and a camera (C1) for capturing an image of a second road (R2) being narrower than the first road (R1), in which the display (D1) acquires and displays an image generated by the camera (C1) or a display data using the image.

A display system (1) includes a display (D1) installed on a first road (R1) and a camera (C1) for capturing an image of a second road (R2) being narrower than the first road (R1), in which the display (D1) acquires and displays an image generated by the camera (C1) or a display data using the image.

An apparatus (1, 5, 6) is described which includes two or more colour displays (2) arranged to provide piece-wise continuous illumination of a volume. The apparatus (1, 5, 6) also includes one or more cameras (3). Each camera (3) is arranged to image the volume. The apparatus (1, 5, 6) is configured to control the two or more colour displays (2) and the one or more cameras (3) to illuminate the volume with each of two or more illumination conditions. The apparatus (1, 5, 6) is also configured to obtain two or more sets of images. Each set of images is obtained during illumination of the volume with one or more corresponding illumination conditions. The two or more sets of images include sufficient information for calculation of a reflectance map and a photometric normal map of an object or subject (4) positioned within the volume. When viewed from the volume, the apparatus (1, 5, 6) only provides direct illumination of the volume from angles within a zone of a hemisphere. The zone is less than a hemisphere and corresponds to a first range (Δα) of latitudinal angles and a second range (Δβ) of longitudinal angles. Each of the first (Δα) and second ranges (Δβ) is no more than 17π/18.

An apparatus (1, 5, 6) is described which includes two or more colour displays (2) arranged to provide piece-wise continuous illumination of a volume. The apparatus (1, 5, 6) also includes one or more cameras (3). Each camera (3) is arranged to image the volume. The apparatus (1, 5, 6) is configured to control the two or more colour displays (2) and the one or more cameras (3) to illuminate the volume with each of two or more illumination conditions. The apparatus (1, 5, 6) is also configured to obtain two or more sets of images. Each set of images is obtained during illumination of the volume with one or more corresponding illumination conditions. The two or more sets of images include sufficient information for calculation of a reflectance map and a photometric normal map of an object or subject (4) positioned within the volume. When viewed from the volume, the apparatus (1, 5, 6) only provides direct illumination of the volume from angles within a zone of a hemisphere. The zone is less than a hemisphere and corresponds to a first range (Δα) of latitudinal angles and a second range (Δβ) of longitudinal angles. Each of the first (Δα) and second ranges (Δβ) is no more than 17π/18.

Disclosed are a face image and iris image acquisition method and device, a computer-readable readable storage medium and an apparatus. The method includes rotating the first tripod head to force the face lens and the iris lens to be in acquisition positions; capturing a first face image and a first iris image simultaneously by the face lens and the iris lens; and locating the iris in the first iris image, and if no iris is located, determining whether a condition of light-avoiding rotation is satisfied, and if the condition is satisfied, rotating the second tripod head to adjust an angle or a position of the supplementary light source to enable a light spot region to avoid an iris region.

Disclosed are a face image and iris image acquisition method and device, a computer-readable readable storage medium and an apparatus. The method includes rotating the first tripod head to force the face lens and the iris lens to be in acquisition positions; capturing a first face image and a first iris image simultaneously by the face lens and the iris lens; and locating the iris in the first iris image, and if no iris is located, determining whether a condition of light-avoiding rotation is satisfied, and if the condition is satisfied, rotating the second tripod head to adjust an angle or a position of the supplementary light source to enable a light spot region to avoid an iris region.

A medical system that includes a shaft having a distal end configured to be positioned at a target site, a first light and a second light positioned at the distal end, and a computing device communicatively coupled to the first and second light. The computing device includes a processor and non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to determine a first illumination measurement of a first region of the target site by the first light and a second illumination measurement of a second region of the target site by the second light. The second region is different than the first region. The processor adjusts emittance from the first light, in response to the first illumination measurement being different than a first threshold, and emittance from the second light in response to the second illumination measurement being different than a second threshold.

A medical system that includes a shaft having a distal end configured to be positioned at a target site, a first light and a second light positioned at the distal end, and a computing device communicatively coupled to the first and second light. The computing device includes a processor and non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to determine a first illumination measurement of a first region of the target site by the first light and a second illumination measurement of a second region of the target site by the second light. The second region is different than the first region. The processor adjusts emittance from the first light, in response to the first illumination measurement being different than a first threshold, and emittance from the second light in response to the second illumination measurement being different than a second threshold.

Image data is obtained that indicates an extent to which one or more objects reflect, scatter, or absorb light at each of multiple wavelength bands, where the image data was collected while a conveyor belt was moving the object(s). The image data is preprocessed by performing an analysis across frequencies and/or performing an analysis across a representation of a spatial dimension. A set of feature values is generated using the image preprocessed image data. A machine-learning model generates an output using to the feature values. A prediction of an identity of a chemical in the one or more objects or a level of one or more chemicals in the object(s) is generated using the output. Data is output indicating the prediction of the identity of the chemical in the object(s) or the level of the one or more chemicals in at least one of the one or more objects.