Higher-speed image recognition processing can be implemented. A light receiving device according to an embodiment includes: a plurality of first filters (130) each transmitting an edge component in a predetermined direction in an incident image; a plurality of second filters (150) each transmitting light of a predetermined wavelength band in incident light; and a plurality of photoelectric conversion elements (PD) each photoelectrically converting light transmitted through one of the plurality of convolution filters and one of the plurality of color filters.

Higher-speed image recognition processing can be implemented. A light receiving device according to an embodiment includes: a plurality of first filters (130) each transmitting an edge component in a predetermined direction in an incident image; a plurality of second filters (150) each transmitting light of a predetermined wavelength band in incident light; and a plurality of photoelectric conversion elements (PD) each photoelectrically converting light transmitted through one of the plurality of convolution filters and one of the plurality of color filters.

A point data acquisition unit acquires a set of point data indicating reflection points obtained by an optical sensor that receives reflected light of an emitted light beam reflected at the reflection points. Point data is a pair of first point data indicating a first reflection point, which is a reflection point of a given light beam, and second point data indicating a second reflection point, which is a reflection point at which the intensity of reflected light of the given light beam is lower than that at the first reflection point. A fog determination unit determines the density of fog based on a distribution of a distance between the first reflection point and the second reflection point concerning the point data included in the acquired set.

Provided are an imaging apparatus and an imaging method that make it possible to apply light having an optimum wavelength to capture an image without a user taking heed of a type of an imaging object. A wavelength of light optimum for analysis of a target is specified as an effective wavelength from a multispectral image of the target on which white light is applied, and light of the effective wavelength is applied upon the target. The target in this state is captured as a multispectral image, and the target is analyzed on a basis of a spectral image of an effective wavelength.

Provided are an imaging apparatus and an imaging method that make it possible to apply light having an optimum wavelength to capture an image without a user taking heed of a type of an imaging object. A wavelength of light optimum for analysis of a target is specified as an effective wavelength from a multispectral image of the target on which white light is applied, and light of the effective wavelength is applied upon the target. The target in this state is captured as a multispectral image, and the target is analyzed on a basis of a spectral image of an effective wavelength.

A method and device for face identification, and a mobile terminal and a storage medium are provided. The method includes: (101) an image sensor is controlled to perform imaging; (102) imaging data obtained by the image sensor through the imaging is acquired; and (103) liveness detection is performed on an imaging object based on the imaging data.

A method and device for face identification, and a mobile terminal and a storage medium are provided. The method includes: (101) an image sensor is controlled to perform imaging; (102) imaging data obtained by the image sensor through the imaging is acquired; and (103) liveness detection is performed on an imaging object based on the imaging data.

The present invention provides a time-of-flight (TOF) device. The TOF device includes an infrared light emitter and an infrared light receiver, the infrared light emitter emits an infrared light along a first direction (X-axis), a right angle prism disposed on a movable base, and the infrared light passes through the right angle prism. A first actuator and a second actuator are respectively disposed beside the movable base. By actuating the first actuator, the right angle prism is tilted toward a second direction (Y axis), and by actuating the second actuator, the right angle prism is tilted toward a third direction (Z axis), and the second direction and the third direction are both perpendicular to the first direction.

Embodiments described herein can address these and other issues by using radar machine learning to address the radio frequency (RF) to perform object identification, including facial recognition. In particular, embodiments may obtain IQ samples by transmitting and receiving a plurality of data packets with a respective plurality of transmitter antenna elements and receiver antenna elements, where each data packet of the plurality of data packets comprises one or more complementary pairs of Golay sequences. I/Q samples indicative of a channel impulse responses of an identification region obtained from the transmission and reception of the plurality of data packets may then be used to identify, with a random forest model, a physical object in the identification region.

An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A force-controlled motor is attached to the mechanical support system and a reel is driven by the force-controlled motor. The interactive exercise system also has a handle graspable by a user and includes a cord extending between the reel and the handle. Force applied through the force-controlled motor is based at least in part on detected user force input.