987 results about "Eye position" patented technology

A method of determining an eye gaze direction of an observer is disclosed comprising the steps of: (a) capturing at least one image of the observer and determining a head pose angle of the observer; (b) utilizing the head pose angle to locate an expected eye position of the observer, and (c) analyzing the expected eye position to locate at least one eye of the observer and observing the location of the eye to determine the gaze direction.

The invention describes augmented reality glasses (1) for medical applications configured to be worn by a user, comprising a frame (15) that supports a glasses lens (2a, 2b), wherein the frame (15) comprises an RGB lighting system comprising RGB-emitting devices (16a, 16b, 16c) configured to emit light beams (B1, B2, B3); first optical systems (17a, 17b, 17c) configured to collimate at least partially said beams (B1, B2, B3) into collimated beams (B1c; B2c; B3c); wherein the frame (15) further comprises a display (3) configured to be illuminated by the RGB lighting system (16) by means of the collimated beams (B1c; B2c; B3c); to receive first images (I) from a first processing unit (10); to emit the first images (I) as second images (IE1) towards the glasses lens (2a, 2b), wherein the lens (2a, 2b) is configured to reflect the second images (IE1) coming from the display (3) as images projected (IP) towards an internal zone (51) of the glasses corresponding to an eye position zone of the user who is wearing the glasses in a configuration for use of the glasses. The invention moreover describes an augmented reality system for medical applications on a user comprising the augmented reality glasses (1) of the invention, biomedical instrumentation (100) configured to detect biomedical and / or therapeutic and / or diagnostic data of a user and to generate first data (D1) representative of operational parameters (OP_S) associated with the user, transmitting means (101) configured to transmit the first data (D1) to the glasses (1); wherein the glasses (1) comprise a first processing unit (10) equipped with a receiving module (102) configured to receive the first data (D1) comprising the operational parameters (OP_S) associated with the user.

An autostereoscopic display system includes an autostereoscopic display subsystem operable to display stereoscopic images and to adjust characteristics of the displayed images responsive to detected viewer eye position parameters. An eye detection subsystem detects through differential-angle illumination the eye position of a viewer positioned in front of the display subsystem and generates corresponding viewer eye position parameters. The eye detection subsystem applies the detected viewer eye position parameters the display subsystem to adjust the characteristics of the displayed images.

A digital image processing method detects facial features in a digital image. This method includes the steps of detecting iris pixels in the image, clustering the iris pixels, and selecting at least one of the following schemes to identify eye positions: applying geometric reasoning to detect eye positions using the iris pixel clusters; applying a summation of squared difference method using the iris pixel clusters to detect eye positions; and applying a summation of squared difference method to detect eye positions from the pixels in the image. The method applied to identify eye positions is selected on the basis of the number of iris pixel clusters, and the facial features are located using the identified eye positions.

A system for controlling the automatic scrolling of information on a computer display or screen is disclosed. The system includes a gimbaled sensor system for following the position of the user's head and user's eye, and scroll activating interface algorithm to find screen gaze coordinates implemented so the scrolling function is performed based upon the screen gaze coordinates of the user's eye relative to a certain activation area(s) on the display or screen. A method of controlling automatic scrolling of information on a display or screen by a user is also disclosed. The method generally includes the acts of finding a screen gaze coordinate on the display or screen of the user, determining whether the screen gaze coordinate is within at least one activated control region, and activating scrolling to provide a desired display of information when the gaze direction is within at least one activated control region.

A subject (12) observes an image on a display (10). A control (18) produces a fixation image at a selected position in the display, followed by a stimulus spaced from the fixation image. An eye position sensor (14) detects a saccade movement towards the stimulus. The stimulus is then replaced with a fixation image and the cycle repeated. The time taken to saccade plus the intensity of the stimulus are used to produce a retinal map of field of vision, or to assess other characteristics of the subject.

A field-of-vision processing and filtering system for eliminating glare from mobile and transient light sources and reflective surfaces, using image recording, eye-position detection, and a active matrix screen functioning as a dynamically controllable visor, for modifying the field of vision appropriately. The system filters out high light intensity points from the field of vision, without seriously affecting the relevant parts of the field of vision. One embodiment of the system can be used by drivers for filtering glare from oncoming headlight at night, as well as during day time to block glare from the sun. Another embodiment of the system can be used for protection from glare of welding iron in a machine shop.

The invention discloses a multi-pose eye positioning algorithm based on the cascaded convolutional neural network, belongs to the machine learning and computer vision field and is suitable for intelligent systems such as face recognition, sight tracking and driver fatigue detection. The method comprises steps that face pictures marked with various types of information are collected to form a training data set; the multi-task cascaded convolutional neural network is constructed; the training data set is utilized to train the network to acquire a network model; and lastly, the network model is utilized to detect faces and face key points of the pictures, and the smallest rectangular box containing the eye key points is selected as the eye positioning result. The method is advantaged in thatthe multi-task cascading convolutional neural network is utilized to accomplish face detection and face key point detection, so the multi-pose eye positioning effect is obviously improved.