23 results about "Photopic vision" patented technology

A method and system for 3D contour reconstruction of AM parts based on light field imaging, belonging to the field of image reconstruction technology is provided. The method includes constructing an EPI-UNet framework, where a preset light field dataset is used to construct a training set, learning labels from the disparity maps corresponding to the preset light field dataset are obtained, and EPI-UNet framework is trained to obtain a predicted disparity vector with the training set and learning labels. Two mappings including disparity and depth mapping, and disparity and 3D mapping, are established to get 3D contour of the AM part. The experiments of validation for accuracy and 3D contour reconstruction of AM parts were performed. By applying light field multi-view vision to the AM process and combining the rich angle and spatial domain view information of the light field, this disclosure provides a reliable quality assurance for AM monitoring.

The invention belongs to the field of computer vision, vision-language matching detection and multi-mode target tracking, and discloses a self-adaptive vision-language matching detection and tracking method. The method comprises the following steps: firstly, constructing a vision-language multi-modal tracking large model by utilizing modal alignment and representation advantages of a pre-trained multi-modal large model; a visual context perception prompt learning algorithm is provided, visual context features are extracted from current search features, prompt learning is adopted to integrate the visual context features into the text coding process, and dynamic perception of the text features on visual changes is achieved; besides, a language self-adaptive implicit updating mechanism is designed, a learnable vector is embedded in a text coding process, and dynamic visual context clues are combined, so that implicit updating of text features in a tracking process is realized, a static language can be dynamically matched with a visual appearance, and the visual-language detection tracking performance is improved.

The invention provides a light-emitting device which is bright in both scotopic vision and photopic vision and reduces dazzling to people. The light-emitting device includes a light-emitting element having a dominant wavelength in the range of 430 nm to 500 nm, and a phosphor excited by light from the light-emitting element and having an emission peak wavelength in the range of 507 nm to 660 nm, and emits light having a dominant wavelength in the range of 490 nm to 500 nm. The S / P ratio, which is the ratio of the luminous flux in scotopic vision to the luminous flux in photopic vision, is 6.5 or less, and the luminous intensity at the luminous peak wavelength of the light-emitting element is higher than the luminous intensity at the luminous peak wavelength of the phosphor.

Embodiments of the invention are directed towards systems, methods and computer program products for providing improved eye tests. Such tests improve upon current eye tests, such as visual acuity tests, by incorporating virtual reality, software mediated guidance to the patient or practitioner such that more accurate results of the eye tests are obtained. Furthermore, through the use of one or more trained machine learning or predictive analytic systems, multiple signals obtained from sensors of a testing apparatus are evaluated to ensure that the eye test results are less error-prone and provide a more consistent evaluation of a user's vision status. As it will be appreciated, such error reduction and user guidance systems represent technological improvements in eye tests and utilize non-routine and non-conventional approaches to the improvement and reliability of eye tests.

This invention belongs to the fields of computer vision, vision-language match detection, and multimodal target tracking, and discloses an adaptive vision-language match detection and tracking method. First, the method leverages the modal alignment and representation advantages of a pre-trained multimodal large model to construct a vision-language multimodal tracking large model. A visual context-aware cue learning algorithm is proposed to extract visual context features from the current search features and integrate them into the text encoding process using cue learning, enabling dynamic perception of visual changes by text features. Furthermore, a language-adaptive implicit update mechanism is designed. By embedding learnable vectors in the text encoding process and combining them with dynamic visual context cues, text features are implicitly updated during tracking, enabling static language to dynamically match visual appearance, thereby improving vision-language detection and tracking performance.

Provided are a light emitting device capable of reducing glare, a headlight, and a vehicle including the same.The light emitting device comprises: a light emitting element having a light emission peak wavelength in a range of 400 nm or more and 490 nm or less; and a wavelength conversion member including a first fluorescent material having a light emission peak wavelength in a range of 480 nm or more and less than 580 nm and a second fluorescent material having a light emission peak wavelength in a range of 580 nm or more and 680 nm or less and having a composition different from that of the first fluorescent material, wherein the light emitting device emits light having a first luminance ratio Ls / L that is 0.9 or less, where Ls / L is a ratio of a first effective radiance Ls of the light emitted by the light emitting device in consideration of a spectral luminous efficiency curve for photopic vision of humans specified by the CIE (Commission Internationale de l'Eclairage) and S-cone spectral sensitivity of humans, to a luminance L of the light emitted by the light emitting device in consideration of the spectral luminous efficiency curve for photopic vision of humans.

The invention discloses a large-range collaborative navigation method for an extraterrestrial patroller, and relates to the field of computer vision, visual navigation and map splicing. The method comprises the following steps: performing significance analysis based on spectral residual for a right monocular camera, focusing on sight capture of a typical feature region, establishing a visual odometer model of inertial IMU pre-integration, and performing back-end optimization driven by a factor graph; establishing a plurality of extraterrestrial patroller similar region search models based on an improved bag-of-words model, introducing a similarity relative scoring function based on a norm form, setting a relative threshold value of a similarity suppression function, and obtaining an image overlapping region; according to the method, the calculation capability of an airborne computer is considered, a sparse feature point map and patroller pose splicing model is established, complete splicing of overlapped area maps is completed through splicing of small sparse feature point maps, and the splicing precision and the splicing efficiency are improved.

The present invention relates to the technical field of illumination. Disclosed are a spectral base selection method and system, a computer device and a computer storage medium. The method comprises: on the basis of the number of target channels, combining preset spectra to construct a plurality of multi-channel light source combinations; respectively computing regulation indexes of each multi-channel light source combination within a preset color temperature range, wherein the regulation indexes include a circadian regulation and control range of the melanopic / photopic ratio, luminous efficacy of radiation at the highest circadian stimulus, luminous efficacy of radiation at the lowest circadian stimulus, and a color rendering index; extracting an optimal multi-channel light source combination from the plurality of multi-channel light source combinations on the basis of the regulation indexes; and optimizing the optimal multi-channel light source combination on the basis of an ipRGCs response curve and a photopic vision function. By means of the present invention, the selected spectral base scheme can be more scientific and better meets human circadian health needs in elderly care and medical environments.

The present invention provides a light-emitting device that is bright both in scotopic vision and photopic vision and reduces glare to humans. The above light-emitting device includes: a light-emitting element having a main wavelength in the range of 430 nm or more and 500 nm or less, and a phosphor that is excited by the light of the above light-emitting element and has an emission peak wavelength in the range of 507 nm or more and 660 nm or less. The above light-emitting device emits light having a main wavelength in the range of 490 nm or more and 500 nm or less, and the ratio of the light flux in scotopic vision to the light flux in photopic vision, that is, the S / P ratio, is 6.5 or less. The emission intensity at the emission peak wavelength of the above light-emitting element is higher than the emission intensity at the emission peak wavelength of the above phosphor.

A light-emitting device comprises: a light-emitting element having a light emission peak wavelength in a range of 400 nm or more and 490 nm or less; and a wavelength conversion element comprising a first fluorescent material having a light emission peak wavelength in a range of 480 nm or more and less than 580 nm and a second fluorescent material having a light emission peak wavelength in a range of 580 nm or more and 680 nm or less and having a composition different from that of the first fluorescent material.The light-emitting device emits light with a first luminance ratio Ls / L of 0.9 or less, wherein the first luminance ratio Ls / L is a ratio of the first effective radiance Ls of the light emitted by the light-emitting device, taking into account a spectral luminous efficacy curve for human photopic vision specified by the CIE, and the spectral S-cone sensitivity of humans, to a luminance L of the light emitted by the light-emitting device, taking into account the spectral luminous efficacy curve for human photopic vision. The first fluorescent material comprises a rare earth aluminate fluorescent material having a composition represented by formula (1A).

The present invention provides an edible composition for alleviating visual fatigue. The composition comprises in parts by weight 1 to 10 parts of curcuma powder, 1 to 12 parts of whole coffee fruit extract, 1 to 20 parts of phospholipid composite, 1 to 15 parts of DHA, 0.5 to 5 parts of phosphatidylserine, and 0.1 to 5 parts of vitamin C. After one week of trial consumption by the subject, the duration of photopic vision is improved with a significant difference in comparison with that before the trial; after 2 weeks of trial consumption, the overall score of visual fatigue symptoms decreases with a significant difference in comparison with that before the trial; after 8 weeks of trial consumption by the subject, the vision field thereof is remarkably enlarged, indicating the formulation may prevent the occurrence of glaucoma. The coffee extract combined with the remaining ingredients has a synergistic effect.

The invention relates to a positioning technology integrating computer vision, vision positioning and IMU (Inertial Measurement Unit) sensors, in particular to a cloud vision positioning data evaluation and pose optimization method based on multi-parameter fusion. According to the pose evaluation model, the continuity of tracking data of an equipment camera or equipment, the consistency of the orientation of the equipment camera or equipment, the distance rationality of positioning feature points, the size of a re-projection error and the stability of IMU (Inertial Measurement Unit) data are comprehensively considered, and the pose of the equipment camera or equipment is dynamically adjusted. When the score is higher than a preset threshold value, updating the equipment camera or the equipment pose by adopting cloud visual positioning data; otherwise, keeping the current pose. According to the strategy, the pose of the equipment camera or the equipment is optimized, the visual positioning precision and the system stability are improved, and the user experience is improved.

The invention belongs to the technical field of image information processing, and discloses a cross-domain few-sample remote sensing target classification method based on discriminant text prompt learning. Firstly, a support set and a query set are sent into an image encoder to obtain an encoded feature sum; through a semantic prompt generation module and a support set prototype feature guide prompt generator, a discriminative semantic prompt S adaptive to a few-sample task is generated, and a fixed template is replaced to accurately represent category attributes; then processing a discriminative semantic prompt S through a text encoder, performing intra-class contrast regularization, constructing a same-class multi-view prompt pair and a different-class negative sample pair, and adopting temperature modulation contrast loss to suppress instance noise and improve cross-domain robustness; and finally, bimodal decision hybrid prediction is provided, and the defect that domain invariance and detail discrimination under few samples cannot be considered in a conventional method is overcome through vision-text semantic similarity and vision-vision feature matching degree.

The application provides a car-machine start-up atmosphere linkage method, belongs to the technical field of automobiles, acquires environment data, the environment data includes time data, weather data and user preference data; constructs an environment atmosphere mapping rule according to the environment data; and realizes multi-dimensional atmosphere linkage according to the environment atmosphere mapping rule. According to the application, the start-up content is dynamically adjusted according to time and weather, multi-dimensional interaction of vision and hearing is formed, compared with single vision / visual level simple sound effects in the prior art, the user experience satisfaction can be significantly improved; the start-up atmosphere is adjusted in real time based on time and weather data, the environment matching degree is high, the problem that the prior art is "disconnected with the environment" is avoided, and the user can feel that the scene is fitted.

The utility model relates to the technical field of computer vision and 3D (three-dimensional) vision processing, and provides a thunder vision all-in-one machine, which comprises a shell, a light guide plate, a light guide plate and a light guide plate, the radar and the camera assembly are connected in the mounting cavity of the shell, and a lens is arranged at the position, corresponding to a lens of the camera assembly, of the shell; and the refrigeration module is provided with a refrigeration end and a heat dissipation end, the refrigeration end is located in the mounting cavity, and the heat dissipation end is located outside the mounting cavity. According to the all-in-one machine provided by the utility model, the sealed mounting cavity can realize a more excellent protection effect, so that the all-in-one machine can adapt to a more complex and harsh working environment, and in addition, the refrigeration module can provide cooling capacity for parts in the mounting cavity, so that the reliability of the all-in-one machine is improved. And even in a high-temperature environment, the interior of the mounting cavity can be ensured to be at a proper temperature, so that the all-in-one machine can work in the high-temperature environment, and the applicability is greatly improved.

An ophthalmic lens comprising an anterior surface and a posterior surface, at least one of the anterior surface and posterior surface including a first surface region corresponding to a photopic aperture of a pupil and a second surface region corresponding to a difference between the photopic aperture and a mesopic aperture of the pupil. A first microstructure pattern formed in a the first surface region, the first microstructure pattern introducing a phase perturbation into an optical path of incoming light such that a full depth of focus for photopic vision is provided.

The invention discloses a full-light-control zinc oxide / perovskite heterojunction bionic visual device, a preparation method, a system and a method.The device comprises a ZnO microwire serving as a conducting channel, a perovskite shell layer, an indium particle electrode and a quartz substrate, and the ZnO microwire is fixed to the quartz substrate through the indium particle electrode; the middle part of the ZnO microwire is wrapped by the perovskite shell layer; the oxygen vacancy defect state in the ZnO microwire is modulated through ultraviolet light, reversible switching of positive and negative photoconductance responding to visible light is achieved, the human eye light pigment regeneration and bleaching process is simulated, and photopic vision and scotopic vision adaptation is achieved; under the modulation of strong ultraviolet light, the device shows a negative photoconductive effect and simulates a self-protection mechanism of eyelid closure. The device integrates visual adaptation and protection functions in a single structure, does not need an external grid voltage or a complex circuit, and provides a new idea for a new generation of bionic visual sensors.

An augmented reality display system and method for use during a surgical procedure are disclosed. An imaging device captures a real image of a surgical area during the surgical procedure generates a first data feed. A sensor device generates a second data feed. An augmented reality device including an augmented reality display generates an augmented overlay based on the first and second data feeds. The augmented overlay includes a visual portion and a non-visual visual portion. A processor receives the first and second data feeds and combines the first and second data feeds to generate the augmented overlay.

The invention relates to an optometry system comprising a computer having one or more processors, the one or more processors are programmed to: a) control the optometry device to determine a photopic vision value of the vision correction power of the correction lens for each eye of the individual by implementing a photopic vision subjective refractive test in photopic vision, or to retrieve an initial vision correction value stored in a memory of the optometry system, or collecting initial vision correction values, b) a step of verifying the placement of the eye of the individual under light conditions ensuring scotopic vision of the eye of the individual for an amount of time, c) a step of verifying the placement of the eye of the individual under light conditions ensuring mesopic vision of the eye of the individual, and d) a step of controlling the optometry device to achieve a mesopic vision subjective refractive test, the meso-vision subjective refractive test comprises: blurring the eyes with a predetermined clouding spherical power, iteratively adding to the eyes a predetermined spherical power negative value identical to the clouding test value and determining the meso-vision binocular visual acuity of the eyes until a maximum value of the meso-vision binocular visual acuity is reached, and determining the meso-vision binocular visual acuity of the eyes until the maximum value of the meso-vision binocular visual acuity is reached. A mesopic raw value of vision correction power is determined for each eye, e) determining a mesopic value of vision correction power based on the mesopic raw value of vision correction power.

A light emitting device comprises: a light emitting element having a light emission peak wavelength in a range of 400 nm or more and 490 nm or less; and a wavelength conversion member including a first fluorescent material having a light emission peak wavelength in a range of 480 nm or more and less than 580 nm and a second fluorescent material having a light emission peak wavelength in a range of 580 nm or more and 680 nm or less and having a composition different from that of the first fluorescent material. The light emitting device emits light having a first luminance ratio Ls / L of 0.9 or less, the first luminance ratio Ls / L being a ratio of a first effective radiance Ls of the light emitted by the light emitting device in consideration of a spectral luminous efficiency curve for photopic vision of humans specified by CIE and the S-cone spectral sensitivity of humans, to a luminance L of the light emitted by the light emitting device in consideration of the spectral luminous efficiency curve for photopic vision of humans. The first fluorescent material comprises a rare earth aluminate fluorescent material having a composition represented by formula (1A).

The light emitting device includes a light emitting element having a dominant wavelength in a range of 430 nm or more and 500 nm or less, and a fluorescent material that is excited by light emitted from the light emitting element and has a light emission peak wavelength in a range of 507 nm or more and 660 nm or less, wherein the light emitting device emits light having a dominant wavelength in a range of 490 nm or more and 500 nm or less, wherein the light emitting device has an S / P ratio, which is the ratio of a luminous flux in photopic vision to a luminous flux in scotopic vision, being 6.5 or less, and wherein the light emitting device has a light emission intensity in the light emission peak wavelength of the light emitting element that is greater than that in the light emission peak wavelength of the fluorescent material.

This invention relates to an automated alignment method for robot calibration based on vision and PSD joint guidance, encompassing fields such as automated calibration of industrial robots and laser precision alignment technology. It addresses the shortcomings of existing four-PSD calibration methods, which rely on manual labor and are inefficient, as well as the limitations of existing vision-PSD hybrid servo technologies, which can only achieve single-point alignment, cannot support time-sharing projection of multiple PSDs from the same laser, and cannot construct dual-optical-path non-planar geometric constraints. The invention achieves this through steps including: pre-calibration of the calibration system and multi-coordinate system; two projections, using the first and second optical path measurement groups respectively to achieve joint alignment of vision and PSD; precise alignment with dual-optical-path non-planar spatial geometric constraints; and fully automated multi-station data acquisition and calibration parameter solving. This invention, through a vision-PSD-vision-PSD multi-round collaborative and time-sharing dual-optical-path non-planar constraint architecture, is adaptable to various industrial robot laser precision calibration scenarios.

Provided herein are optically transparent materials configured to block an appropriate amount of incident blue light, such that when the materials are positioned in the optical path between environmental light and the retina of a user, the optically transparent materials reduce the amount of blue light from the environmental light that reaches the retina of a user. The materials can block an effective amount of blue light to minimize damage to retinal tissue while permitting transmission of an effective amount of maintain acceptable photopic vision, scotopic vision, color vision, and circadian rhythms.