A captured image obtaining unit 50 of an output control device 10 obtains a captured image such as a polarization image from an imaging device 12. A space information obtaining unit 54 obtains a normal line and a position of a surface of an actual object in a space and a sound absorption coefficient at the surface. A correction coefficient obtaining unit 56 calculates energy of sound reaching a listener including sound reflected at the actual object and obtains a correction coefficient to be given to a level of a sound signal on the basis of the sound energy. An output unit 60 adjusts the sound signals by using the correction coefficient 62 and outputs the adjusted sound signals to speakers 16a and 16b.

A shooting score identifying method and device, and an electronic device are provided. The method includes the steps of capturing a picture of a shooting operation on target paper to acquire a shooting image formed on the target paper; forming a thermal imaging image of the target paper after the shooting image is acquired; performing target identification on the shooting image to obtain a target image related to a shooting point, and performing direction correction on the shooting point present in the target image to obtain a correction image; and performing interference removal processing on the correction image through the thermal imaging image to obtain an identification image, thereby identifying a shooting score based on the identification image.

A shooting score identifying method and device, and an electronic device are provided. The method includes the steps of capturing a picture of a shooting operation on target paper to acquire a shooting image formed on the target paper; forming a thermal imaging image of the target paper after the shooting image is acquired; performing target identification on the shooting image to obtain a target image related to a shooting point, and performing direction correction on the shooting point present in the target image to obtain a correction image; and performing interference removal processing on the correction image through the thermal imaging image to obtain an identification image, thereby identifying a shooting score based on the identification image.

Embodiments of the present application disclose a fingerprint identification apparatus and an electronic device. The fingerprint identification apparatus is used to be disposed under a display screen and includes a first filter layer and a fingerprint sensor, and the first filter layer is disposed above the fingerprint sensor, the first filter layer includes a plurality of first filter units, and the plurality of first filter units are disposed in a region of the first filter layer corresponding to an edge region of the fingerprint sensor; sensing units of the edge region of the fingerprint sensor are configured to receive a light signal returned by a finger above the display screen and filtered by the plurality of first filter units; and sensing units of a middle region of the fingerprint sensor are configured to receive a light signal returned by the finger, to generate a fingerprint image of the finger.

Embodiments of the present application disclose a fingerprint identification apparatus and an electronic device. The fingerprint identification apparatus is used to be disposed under a display screen and includes a first filter layer and a fingerprint sensor, and the first filter layer is disposed above the fingerprint sensor, the first filter layer includes a plurality of first filter units, and the plurality of first filter units are disposed in a region of the first filter layer corresponding to an edge region of the fingerprint sensor; sensing units of the edge region of the fingerprint sensor are configured to receive a light signal returned by a finger above the display screen and filtered by the plurality of first filter units; and sensing units of a middle region of the fingerprint sensor are configured to receive a light signal returned by the finger, to generate a fingerprint image of the finger.

An advanced driver assistance apparatus, a vehicle having the same, and a method of controlling the vehicle are provided. The vehicle may acquire a first image of a road by a first image acquisition unit while traveling, acquire a second image of the road by a second image acquisition unit while traveling, recognize a first lane in the first image by a first lane recognizer, recognize a second lane in the second image by a second lane recognizer, determine whether at least one of the first lane recognizer or the first image acquisition unit has a failure by comparing the first lane with the second lane, and output failure information when at least one of the first lane recognizer or the first image acquisition unit is determined to have the failure.

An advanced driver assistance apparatus, a vehicle having the same, and a method of controlling the vehicle are provided. The vehicle may acquire a first image of a road by a first image acquisition unit while traveling, acquire a second image of the road by a second image acquisition unit while traveling, recognize a first lane in the first image by a first lane recognizer, recognize a second lane in the second image by a second lane recognizer, determine whether at least one of the first lane recognizer or the first image acquisition unit has a failure by comparing the first lane with the second lane, and output failure information when at least one of the first lane recognizer or the first image acquisition unit is determined to have the failure.

Advanced processing is performed in a chip. A stacked light-receiving sensor according to an embodiment includes a first substrate (100, 200, 300) and a second substrate (120, 320) bonded to the first substrate. The first substrate includes a pixel array (101) in which a plurality of unit pixels are arranged in a two-dimensional matrix. The second substrate includes a converter (17) configured to convert an analog pixel signal output from the pixel array to digital image data and a processing unit (15) configured to perform a process based on a neural network calculation model for data based on the image data. At least a part of the converter is arranged on a first side in the second substrate. The processing unit is arranged on a second side opposite to the first side in the second substrate.

Advanced processing is performed in a chip. A stacked light-receiving sensor according to an embodiment includes a first substrate (100, 200, 300) and a second substrate (120, 320) bonded to the first substrate. The first substrate includes a pixel array (101) in which a plurality of unit pixels are arranged in a two-dimensional matrix. The second substrate includes a converter (17) configured to convert an analog pixel signal output from the pixel array to digital image data and a processing unit (15) configured to perform a process based on a neural network calculation model for data based on the image data. At least a part of the converter is arranged on a first side in the second substrate. The processing unit is arranged on a second side opposite to the first side in the second substrate.

In some embodiments, apparatuses, systems, and methods are provided herein useful to assessing products. In some embodiments, an enclosure for use in assessing products comprises a housing including a door configured to allow placement of a product within the housing, a product holding surface located within the housing allowing pictures to be taken through the product holding surface and configured to support the product, a first image capture device configured to capture an image of the product from a first perspective, a second image capture device configured to capture an image of the product from a second perspective, and wherein the image of the product from the second perspective is captured through the product holding surface, and a lighting element, wherein the lighting element is located within the housing, and wherein the lighting element is configured to provide lighting within the housing.