The present invention provides a processing apparatus (10) including an electromagnetic wave transmission/reception unit (11) that irradiates an electromagnetic wave from a transmission antenna, and receives a reflection wave by a reception antenna; a label determination image generation unit (12) that generates a label determination image, based on a signal of the received reflection wave; a learning image generation unit (13) that generates a learning image, based on a signal being a part of a signal of the receive reflection wave, and less than a signal to be used in generation of the label determination image; a label determination unit (14) that determines a label, based on the label determination image; and a training data generation unit (15) that generates training data in which the learning image and the label are associated, and causing a training data storage unit (16) to store the generated training data.

Example implementations described herein are directed to integration of far infrared cameras in a vehicle system to detect objects based on relative temperature of objects. Such implementations can improve accuracy when paired, for example, with classification systems that classify objects based on the shape of the object, as both the shape and relative temperature can be used to ensure that the classification is accurate. Further, example implementations can synchronize far infrared cameras with other sensor systems to determine distance, energy, and absolute temperature of an object, which can also be used to enhance classification. Such classifications can then be provided to an advanced driver assistance systems (ADAS), which can control the vehicle system in accordance with the object classification.

Provided are an image processing apparatus, an image processing method, and an image processing program capable of achieving high accuracy in an index representing vegetation. An image processing apparatus (1) includes a normal map generation unit (12) and a reflection characteristic model generation unit (18). The normal map generation unit (12) obtains a normal vector characteristic based on a polarized image acquired. The reflection characteristic model generation unit (18) estimates a reflection characteristic model based on the normal vector characteristic obtained by the normal map generation unit (12).

Provided are an image processing apparatus, an image processing method, and an image processing program capable of achieving high accuracy in an index representing vegetation. An image processing apparatus (1) includes a normal map generation unit (12) and a reflection characteristic model generation unit (18). The normal map generation unit (12) obtains a normal vector characteristic based on a polarized image acquired. The reflection characteristic model generation unit (18) estimates a reflection characteristic model based on the normal vector characteristic obtained by the normal map generation unit (12).

A detection device includes a substrate, a plurality of photodiodes provided on the substrate, a plurality of transistors provided correspondingly to the respective photodiodes, a plurality of gate lines that extend in a first direction, a plurality of signal lines that extend in a second direction intersecting the first direction, a plurality of lower electrodes that are provided between the transistors and the photodiodes in a direction orthogonal to the substrate, and are provided correspondingly to the respective photodiodes, an upper electrode provided so as to extend across the photodiodes, and a reflective layer provided between the substrate and each of the photodiodes in the direction orthogonal to the substrate. Each of the lower electrodes has a smaller area than an area defined by the gate lines and the signal lines, and the reflective layer is provided between the lower electrodes adjacent to each other in a plan view.

An object detection device detects objects around an own vehicle by fusing a plurality of pieces of target information obtained by detecting the objects as targets using a plurality of detection sensors with different detection accuracies, and includes a crowd determination unit that determines that a target other than a reference target detected in a predetermined crowd region based on the reference target selected from the targets is a crowd target; a region setting unit that sets a search region so as to include a crowd determination region in which the reference target and the crowd target are detected; and an object determination unit that determines an object indicated by a target in the search region by fusing the target information for the search region.

An information processing device includes an image acquisition unit configured to acquire spectroscopic images for a plurality of spectral wavelengths as a captured image of an imaging target, a spectrum calculation unit configured to calculate an optical spectrum in each of pixels, based on the plurality of spectroscopic images, a feature wavelength detection unit configured to detect a feature wavelength of the optical spectrum in each of the pixels, a color set unit configured to calculate a feature angle corresponding to the feature wavelength in each of the pixels and set, as a feature color of a corresponding pixel, a color in the hue circle corresponding to the feature angle, and an image generation unit configured to generate a feature detection image obtained by converting each of the pixels of the captured image into the feature color corresponding to the pixel.

An information processing device includes an image acquisition unit configured to acquire spectroscopic images for a plurality of spectral wavelengths as a captured image of an imaging target, a spectrum calculation unit configured to calculate an optical spectrum in each of pixels, based on the plurality of spectroscopic images, a feature wavelength detection unit configured to detect a feature wavelength of the optical spectrum in each of the pixels, a color set unit configured to calculate a feature angle corresponding to the feature wavelength in each of the pixels and set, as a feature color of a corresponding pixel, a color in the hue circle corresponding to the feature angle, and an image generation unit configured to generate a feature detection image obtained by converting each of the pixels of the captured image into the feature color corresponding to the pixel.

A photoelectric fingerprint identification apparatus, a terminal, and a fingerprint identification method are provided. The apparatus includes: a light-emitting unit, where the light-emitting unit generates at least a first light signal and a second light signal; a photoelectric fingerprint sensor, where the photosensitive fingerprint sensor includes a first sensing region and a second sensing region that do not overlap each other, and the first sensing region is covered with an infrared filter; an image detection unit, configured to detect reflected light energy of the first sensing region to obtain fingerprint information; and a living body detection unit, configured to detect reflected light energy of the second sensing region to obtain living body detection information.

A photoelectric fingerprint identification apparatus, a terminal, and a fingerprint identification method are provided. The apparatus includes: a light-emitting unit, where the light-emitting unit generates at least a first light signal and a second light signal; a photoelectric fingerprint sensor, where the photosensitive fingerprint sensor includes a first sensing region and a second sensing region that do not overlap each other, and the first sensing region is covered with an infrared filter; an image detection unit, configured to detect reflected light energy of the first sensing region to obtain fingerprint information; and a living body detection unit, configured to detect reflected light energy of the second sensing region to obtain living body detection information.