Patent classifications
G06V10/145
SYSTEM FOR EXTERNAL FISH PARASITE MONITORING IN AQUACULTURE
A system for external fish parasite monitoring in aquaculture, the system comprising: a camera (52) suitable to be submerged in a sea pen suitable for containing fish, the camera being arranged for capturing images of the fish; and an electronic image processing system (86) configured for identifying external fish parasites on the fish by analyzing the captured images, characterized by a camera and lighting rig (10) having a vertical support member (14), an upper boom (16) articulated to a top end of the support member (14) and carrying an upper lighting array (22), a lower boom (18) articulated to a lower end of the support member (14) and carrying a lower lighting array (24), and a housing (20) attached to the support member and carrying the camera (52), wherein the upper and lower lighting arrays (22, 44) are configured to illuminate, from above and from below, a target region inside a field of view of the camera (52).
Biometric sensor and electronic device comprising the same
A sensor for sensing biometric information includes a light emitting unit that emits a first light ray, a light receiving unit that receives a second light ray, where the second light ray includes a portion of the first light ray reflected by a body of a user, and an optical layer placed over the light emitting unit and the light receiving unit. The optical layer has a first surface facing the light emitting unit and the light receiving unit and a second surface opposite the first surface. The optical layer further includes an asymmetrical protrusion structure formed on the first surface or the second surface and including a plurality of asymmetrical protrusion units. The optical layer may further include a symmetrical protrusion structure formed on the first surface or the second surface opposite the asymmetrical protrusion structure and including a plurality of symmetrical protrusion units.
Method for generating 3D biometric model of body part of user and electronic device thereof
A method for generating a three-dimensional (3D) biometric model of a user's body part is provided. The method includes detecting, by at least one imaging sensor of the electronic device, the body part, capturing by the at least two imaging sensors a first image of a first portion of the body part and a second image of a second portion of the body part, generating the 3D biometric model of the body part using the first image and the second image of the body part, and storing the 3D biometric model of the body part.
IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD, AND IMAGE CAPTURING APPARATUS
An image processing apparatus comprises: an acquisition unit that acquires a first image obtained through shooting and distance information of the first image; a detection unit that detects a main subject from the first image; an extraction unit that extracts another subject from the first image based on the distance information of the main subject; a setting unit that sets parameters of one or more virtual light sources that emit virtual light to the main subject and the extracted other subject; and a processing unit that generates from the first image a second image in which the main subject and the other subject are illuminated with the virtual light using the parameters set by the setting unit.
System, method and computer program product to project light pattern
Disclosed are methods, circuits, optical assemblies, devices, systems and associated computer executable code for estimating for three dimensional imaging. According to some embodiments, there may be provided a projector operable to project a bi-dimensionally coded pattern to provide a first projection of the bi-dimensionally coded pattern and a second projection of the bi-dimensionally coded pattern. The first projection and the second projection may be offset or rigidly shifted with respect to one another, such that a first reflection off an object which is associated with the first projection and a second reflection off the object which is associated with the second projection are provided. A signal corresponding to the first reflection and a signal corresponding to the second reflection may be co-processed.
Image recognition device, image recognition method and image recognition unit
An image recognition device, an image recognition method and an image recognition unit are capable of performing touch recognition high in accuracy. The image recognition device includes a measurement point determination section adapted to determine a fingertip from an image obtained by a camera, a pattern display section adapted to make a projector display a first pattern having a first linear pattern varying in luminance with a first pitch along a direction parallel to an epipolar line passing through the fingertip, and a second linear pattern varying in luminance with a second pitch along a direction parallel to the epipolar line, and a position detection section adapted to perform touch recognition based on a variation of the first pattern from the image including the first pattern.
Systems and methods of locating a control object appendage in three dimensional (3D) space
Methods and systems for capturing motion and/or determining the shapes and positions of one or more objects in 3D space utilize cross-sections thereof. In various embodiments, images of the cross-sections are captured using a camera based on reflections therefrom or shadows cast thereby.
Marker aided three-dimensional mapping and object labeling
Methods, systems, and apparatus, including computer programs encoded on a storage device, for generating a three-dimensional map of a property. The method includes storing at least a portion of an initial map modification data structure, receiving an instruction that instructs the robotic device to initiate property mapping, obtaining image data describing a portion of the property that is mounted to the robotic device, analyzing the obtained image data to determine whether the image data depicts a marker, in response to a determination that the obtained image data depicts a marker, determining the pose of the camera that is mounted to the robotic device, updating the initial map modification data structure using the pose of the camera that is mounted to the robotic device, obtaining an initial three-dimensional map of the property; and modifying the initial three-dimensional map of the property based on the updated map modification data structure.
Imaging hidden objects
The present disclosure describes an imaging system, method, and apparatus for identifying a latent image of a hidden object. A light source generates a first beam of narrow-band light and a second beam of narrow-band light that has temporal fluctuations correlated with the first beam. A frequency modulator shifts a temporal frequency of at least one of the first beam or the second beam. The first beam is directed towards a first scattering surface and the second beam is directed towards a second scattering surface. The first scattering surface scatters the first beam to a scattered light that illuminates a hidden object. The hidden object reflects at least a portion of the scattered light towards the second scattering surface, the reflected light interferes with the second beam and produces an interference pattern on the second scattering surface. A lock-in camera detects an irradiance of the interference pattern, monitors temporal variations of the irradiance caused by the temporal frequency shift introduced by the frequency modulator, and identifies a complex-valued light field that represents information of the hidden object based on the temporal variations of the irradiance.
BLUE LIGHT ADJUSTMENT FOR BIOMETRIC SECURITY
Systems and methods for blue light adjustment with a wearable display system are provided. Embodiments of the systems and methods for blue light adjustment can include receiving an eye image of an eye exposed to an adjusted level of blue light; detecting a change in a pupillary response by comparison of the received eye image to a first image; determining that the pupillary response corresponds to a biometric characteristic of a human individual; and allowing access to a biometric application based on the pupillary response determination.