An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A mirror element is attached to at least partially cover the display module. At least one movable arm is connected to the support system and at least one force-controlled component is connected to the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.

A method includes generating spectral image data reproducible as one or more spectral images of a plurality of regions of interest in a sample. The method also includes analyzing the spectral image data to identify a plurality of scattering components in the spectral image data, each of the plurality of scattering components being associated with one or more biological properties of the sample. The method also includes identifying a feature of interest in the sample based at least in part on one or more the identified plurality of scattering components.

Computational techniques are applied to video images of polyps to extract features and patterns from different perspectives of a polyp. The extracted features and patterns are synthesized using registration techniques to remove artifacts and noise, thereby generating improved images for the polyp. The generated images of each polyp can be used for training and testing purposes, where a machine learning system separates two types of polyps.

The invention concerns a system for lighting a lateral region of a vehicle. The system includes a first rear light module capable of emitting a first light beam and a second front light module capable of emitting a second light beam. The first and second light modules are arranged such that their respective light beams are oriented towards each other. The invention also relates to a vehicle including such a system. The invention finally concerns a lighting method and a method for assisting the driving of a vehicle.

According to the techniques of this disclosure, a method includes capturing, using a camera system of a vehicle, at least one image of an occupant of the vehicle, determining, based on the at least one image of the occupant, a location of one or more eyes of the occupant within the vehicle, and determining, based on the at least one image of the occupant, an eye gaze vector. The method may also include determining, based on the eye gaze vector, the location of the one or more eyes of the occupant, and a vehicle data file of the vehicle, a region of interest from a plurality of regions of interests of the vehicle at which the occupant is looking, wherein the vehicle data file specifies respective locations of each of the plurality of regions of interest, and selectively performing, based on the region of interest, an action.

Embodiments of the present application provide an anti-counterfeiting face detection method, device and multi-lens camera, wherein the anti-counterfeiting face detection method comprises: acquiring a depth image, an infrared image and an RGB image by using a TOF camera and an RGB camera; analyzing the RGB image through a preset face detection algorithm to determine an RGB face region of a face in the RGB image and position information of the RGB face region; determining a depth face region of the face in the depth image and an infrared face region of the face in the infrared image based on the position information of the RGB face region; determining that the face passes the detection when the depth face region, the infrared face region and the RGB face region meet corresponding preset rules respectively. In the anti-counterfeiting face detection method in the embodiment of the present application, the detection of a living body face can be completed without the cooperation of the user performing corresponding actions, which can save the detection time and provide good user experience.

Provided are a display panel and a display device. An array layer is located on a substrate. A display layer is located on a side of the array layer facing away from the substrate and includes light-emitting elements. A color filter layer is located on a side of the display layer facing away from the array layer. The color filter layer includes a light-blocking layer and color filters. The light-blocking layer includes first light-blocking portions. Each first light-blocking portion forms an imaging aperture. A protective layer is located on the color filter layer. Each first metal part overlaps the first light-blocking portion. The optical sensor layer is located on a side of the color filter layer facing away from the protective layer and configured to detect an image formed by the imaging aperture. Further provided is a display device including the preceding display panel.

A biometric capture device is operative to adjust one or more environmental parameters to enhance a range (e.g., distance) at which a biometric may be captured from a subject. For example, a sample biometric capture device may be, include, or otherwise incorporate a retinal or iris scanner configured to capture an image of the retina or iris (e.g., a biometric) when the retina or iris is illuminated by infrared light. Generally, the amount of infrared light required to accurately image the retina or iris increases with the distance of the subject's retina or iris from the image capture device. The biometric capture device may capture a facial image using a first image sensor, identify a face in the facial image, capture an iris image using a second image sensor guided by the facial image, and identify a person using the iris image.

It is possible to more appropriately perform fluorescence separation. An information processing apparatus according to an embodiment includes: a fluorescence signal acquisition unit (112) that acquires a plurality of fluorescence spectra corresponding to each of a plurality of excitation lights having different wavelengths and irradiated to a fluorescence stained specimen (30), the fluorescence stained specimen (30) being created by staining a specimen (20) with a fluorescence reagent (10); a link unit (131) that generates a linked fluorescence spectrum by linking at least parts of the plurality of fluorescence spectra to each other in a wavelength direction; a separation unit (132) that separates the linked fluorescence spectrum into spectra for every fluorescent substance using a reference spectrum including a linked autofluorescence reference spectrum in which spectra of autofluorescent substances in the specimen are linked to each other in the wavelength direction and a linked fluorescence reference spectrum in which spectra of fluorescent substances in the fluorescence stained specimen are linked to each other in the wavelength direction; and an extraction unit (132) that updates the linked autofluorescence reference spectrum using the spectra for every fluorescent substance separated by the separation unit.

A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a human face is identified within the thermal image, the human face corresponding to a human subject. An indication of a distance between the human subject and the thermal camera is received. Based on the distance, a distance correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the human face to give one or more distance-corrected thermal intensity values. Based on the one or more distance-corrected thermal intensity values an indication of a body temperature of the human subject is reported.