45 results about "Foveola" patented technology

Technologies for improving foveated rendering of an image by improving the position of the image to be displayed through image re-projection are disclosed. For example, a method may include receiving a first estimation of a predicted gaze point of a user on a display device that is determined before starting rendering a high-quality portion of the image. The method may further include causing the image to be rendered based on the first estimation of the predicted gaze point. The method may also include receiving a second estimation of the predicted gaze point. The second estimation of the predicted gaze point is determined after rendering of the high-quality portion of the image has started. Responsive to determining that the second estimation of the predicted gaze point is different from the first estimation, the method may include adjusting the rendered image based on the second estimation of the predicted gaze point and transmitting the adjusted image to the display device for display.

A system and/or method for measuring a human ocular parameter comprises a human-wearable face shield which has an eye sensor, a head orientation sensor, and an electronic circuit, and a face shield. The eye sensor comprises a video camera that measures horizontal eye movement, vertical eye movement, pupillometry, and/or eyelid movement. The head orientation sensor measures pitch and/or yaw of the wearer's face. The electronic circuit is response to the eye sensor and the head orientation sensor and measures an ocular parameter such as vestibulo-ocular reflex, ocular saccades, pupillometry, pursuit tracking during visual pursuit, vergence, eye closure, focused position of the eyes, dynamic visual acuity, kinetic visual acuity, virtual retinal stability, retinal image stability, foveal fixation stability, or nystagmus.

The invention discloses a bionic eye using system capable of preventing eyes from feeling tired after long time use and preventing and curing eye diseases such as shortsightedness. The reason that theancients and all land animals are hardly shortsighted is decoded in the aspect of bionics, and the essence of the reason is fused with the prior art to form the bionic eye using system capable of preventing eyes from feeling tired after long time use and preventing eye diseases such as shortsightedness. A reading rack comprises a movement guiding device, or a movement guiding device and a peripheral visual field stimulating device; the movement guiding device is used for driving a reading matter to move regularly, and aims to drive switching operation among different visual cells in the center of a retina, drive the ciliaris, crystalline lens, extraocular muscle and sclera to perform switching operation between a tensioned state and a relaxed state continuously, and utilizes the subconsciousness of all animals for the sensibility of dynamic conditions to adjust the visual desires; the peripheral visual field stimulating device is used for changing the peripheral visual field blood circulation of the eye ground, bidirectionally adjusting the lengths of optical axes, promoting the lengths of optical axes for shortsightedness and farsightedness to recover towards the emmetropia direction and promoting the periphery of the eye ground with astigmatism to recover towards the emmetropia direction by the elongated eye axes.

The invention discloses a lens, glasses and device for preventing and controlling myopia and a lens preparation method. The lens is characterized in that the absolute value of the diopter of a lens body is smaller than the absolute value of the actual optometry diopter of the eyeballs of a myopia person, and a lightproof film is arranged on the surface of the central area of the lens body and provided with a plurality of micropores. Because the absolute value of the diopter of the lens body is smaller than the absolute value of the actual optometry diopter of the eyeballs of the myopic person,the lens body cannot completely correct the ametropia of the myopic person, and the permissible diffusion circle is located in front of the retina; after the central area is subjected to the action of the micropores, the allowable dispersion circle can move backwards, so that the allowable dispersion circle just falls into the central concave part of the macula lutea of the retina, clear centralvision is provided for the myopic person, and the allowable dispersion circle is still kept at a relatively front position due to the fact that the peripheral area of the lens body is not limited by the micropores. Therefore, myopia defocusing is formed on the peripheral retinas, and finally the effect of preventing and controlling juvenile myopia is achieved.

The invention discloses an eye fundus image recognition method and device, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence such as computer vision, deep learning and intelligent medical treatment. A specific embodiment of the method comprises the following steps: acquiring a position of a fundus focus, a position of a macular fovea center, a lesion level of a retina and a lesion probability value of a macular region in a fundus image; establishing the correlation between each feature and the lesion type of the macular region based on the position of the fundus focus, the position of the fovea center of the macular, the lesion level of the retina and the lesion probability value of the macular region; performing feature screening based on the correlation between each feature and the lesion type of the macular region; and inputting the screened features into a pre-trained macular region classification decision tree to obtain the category of the macular region. According to the embodiment, computer-assisted eye fundus image recognition is utilized, so that the labor cost is greatly reduced.

The invention relates to an OCT image-based Alzheimer's disease risk prediction method and system and a medium. The OCT image-based Alzheimer's disease risk prediction method comprises the following steps that a fundus OCT image is input into a trained retina segmentation model to obtain a segmentation mask of a retina region; a fundus OCT image is input into a trained choroid segmentation model to obtain a segmentation mask of a choroid region; the position of a macular central recess is detected; the distance between the upper and lower boundaries of the retina segmentation mask and the choroid segmentation mask at the macular central recess is calculated to obtain the retina thickness and the choroid thickness at the corresponding positions; and the omentum thickness, the choroid thickness and the age and gender information of the person taking the fundus OCT image are input into an optimized multi-index Logistic regression model to obtain the disease risk level of the Alzheimer's disease. The retina and choroid segmentation and thickness measurement are carried out by adopting a Unet network structure, the accuracy is high, a multi-factor disease risk prediction model is constructed, and a more reliable result for predicting the Alzheimer's disease patient can be provided.

The invention relates to the technical field of medical image processing, in particular to a high-specificity diabetic retinopathy characteristic detection method and storage equipment. The high-specificity diabetic retinopathy characteristic detection method comprises the following steps: carrying out focus characteristic detection on a lesion area of a fundus image through a preset step; preprocessing the fundus image processed by the preset step; extracting a main blood vessel of the preprocessed fundus image; performing optic disc delineation and macular foveal delineation on the preprocessed fundus image according to the main blood vessel; and further perfecting the specificity of focus feature detection according to the optic disc delineation result, the macular fovea delineation result and the main blood vessel. Compared with a method which can only reflect the eye fundus image level, an eye fundus image classification method based on the image level or a focus characteristic extraction method only through deep learning can reduce focus detection errors by directly obtaining the positions, types and numbers of red and bright color focuses, and the focus feature detection specificity is improved.

An apparatus and system for a display screen for use in near-eye display devices. Small light emitting devices are placed behind a plurality of light-directing beads. The light emitting devices and light-directing beads for a display device and system placed in front of a user for near-eye display. This allows a user to experience near-eye display with greater resolution, wider field of view and faster frame rate. Other embodiments are described herein.

The invention discloses a 3P ultra-wide-angle lens which comprises a first lens, a second lens and a third lens which are sequentially arranged from an object side to an image side, the first lens is a negative lens, the surface, close to the object side, of the first lens is P1R1, the center of the surface P1R1 is concave towards the object side, the surface, close to the image side, of the first lens is P1R2, the center of the surface P1R2 is convex towards the image side, when close to the edge, the lens turns to be concave towards the image side, the second lens is a positive lens, the surface, close to the object side, of the second lens is P2R1, the center of the surface P2R1 is convex towards the object side, the surface, close to the image side, of the second lens P2 is called P2R2, the center of the surface P2R2 is convex towards the image side, and the core thickness is T2. The third lens is a positive lens, the surface, close to the object side, of the third lens is P3R1, and the center of the surface P3R1 is convex towards the object side. The total focal length of the 3P ultra-wide-angle lens is f, and the ultra-wide-angle lens meets the condition that T2/f is larger than 0.7 and smaller than 1.5.

A predictive, foveated virtual reality system may capture views of the world around a user using multiple resolutions. The system may include one or more cameras configured to capture lower resolutionimage data for a peripheral field of view while capturing higher resolution image data for a narrow field of view corresponding to a user's line of sight. Additionally, the system may also include one or more sensors or other mechanisms, such as gaze tracking modules or accelerometers, to detect or track motion. The system may also predict, based on a user's head and eye motion, the user's futureline of sight and may capture image data corresponding to a predicted line of sight. When the user subsequently looks in that direction the system may display the previously captured (and augmented)view.

A method for implementing a graphics pipeline is provided. The method includes determining a plurality of light sources affecting a virtual scene. Geometries of objects of an image of the scene is projected onto a plurality of pixels of a display from a first point-of-view. The pixels are partitioned into a plurality of tiles. A foveal region of highest resolution is defined for the image as displayed, wherein a first subset of pixels is assigned to the foveal region, and wherein a second subset of pixels is assigned to a peripheral region that is outside of the foveal region. A first set of light sources is determined from the plurality of light sources that affect one or more objects displayed in a first tile that is in the peripheral region. At least two light sources from the first setare clustered into a first aggregated light source affecting the first tile when rendering the image in pixels of the first tile.

A method for improved compression and filtering of images for foveated transport applications. The improvements including calculating along at least one axis of the full-resolution image data set, the distance from the foveal point to edges of full-resolution image data set, calculating the distance from each edge of the full resolution data set to the closest point on a foveal region surrounding the foveal point, calculating the distribution of available space in the adjacent peripheral regions of the image using a compression parameter, and calculating a compression curve wherein the compression of both adjacent peripheral regions is such that neither side of the adjacent peripheral regions are compressed more than the other.