Abstract: Disclosed are a distance measuring method and a distance measuring apparatus. During the distance measuring, an image is obtained. If the location of a center of gravity of the image is within a first segment, the calculating unit calculates a distance between the object and the distance measuring apparatus corresponding to the projection point, according to a first mapping relationship and the location of a center of gravity of the image. If the location of a center of gravity of the image is within a second segment, the calculating unit calculates a distance between the object and the distance measuring apparatus corresponding to the projection point according to a second mapping relationship and the location of a center of gravity of the image.

Abstract: A method for identifying a position of an object in a cargo space includes identifying a region of interest (ROI) from a field of view of the cargo space being captured by a camera, where the camera captures at least one of depth and color of the field of view, extracting a plurality of planes from the ROI, where the plurality of planes correspond to a geometry of the object, clustering similar and nearby planes, where the clustering is based on a weight of two or more planes of the plurality of planes and where the weight is assigned based on a property of orthogonality and a property of dimensions of two or more planes of the plurality of planes, modelling a multi-dimensional bounding box corresponding to the object based on the clustered planes, and identifying a position of the object based on a position of the multi-dimensional bounding box.

Abstract: A method measures an object using a CMM having a CMM accuracy. To that end, the method provides a jogbox with a 3D scanner having a scanner accuracy, positions the object on the CMM, and scans, using the 3D scanner, the object to produce scan data of the object. The method also measures a first portion of the object using the scan data, and a second portion of the object using the CMM. The CMM accuracy is more accurate than the scanner accuracy.

Abstract: In vision-based authentication platforms for secure resources such as computer systems, false positives and/or false negatives in the detection of walk-away events are reduced or eliminated by incorporating depth information into tracking authenticated system operators.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: There is provided a setting support method for a projection region including, acquiring a first image obtained by imaging a projection object onto which a projection image is projected, estimating a shape of a projection region, which is a projection destination of the projection image in the projection object, calculating a first similarity degree indicating a degree of similarity of a first template image showing a first candidate of the shape of the projection region and the shape estimated based on the first image, calculating a second similarity degree indicating a degree of similarity of a second template image showing a shape of a second candidate different from the first candidate and the shape estimated based on the first image, and displaying the first template image and the second template image in display order or display forms corresponding to the first similarity degree and the second similarity degree.

Abstract: Examples of the disclosure provide an apparatus for authentication of images. The apparatus comprises means for: receiving one or more images captured by an imaging device; extracting one or more light patterns from the one or more images where the one or more light patterns correspond to light reflected from at least part of an object that was positioned out of field of view of the imaging device when the one or more images were captured so that the at least part the object does not appear in the one or more images but light reflected from the at least part of the object that was positioned out of field of view creates the one or more light patterns in the one or more images; and determining if the extracted one or more light patterns correspond to a predetermined object to enable authentication of the one or more images.

Abstract: The imaging camera includes the high-sensitivity pixel with the spectral sensitivity characteristic having high sensitivity to a light of the wavelength to be irradiated to the solder (target), and the low-sensitivity pixel with the spectral sensitivity characteristic having low sensitivity to this light. This allows the pattern light reflected in the high-reflection area of the surface of the solder to be converted to an appropriate pixel value using the low-sensitivity pixel, while allowing the pattern light reflected in the low-reflection area of the surface of the solder to be converted to an appropriate pixel value using the high-sensitivity pixel. Namely, both the pattern lights reflected in the high-reflection area and the low-sensitivity pixel can be converted to appropriate pixel values. In this way, even if the solder has both the high-reflection area and the low-sensitivity pixel, acquisition of accurate pixel values is allowed for both of these areas.

Abstract: The present teaching relates to a method, system, medium, and implementation of processing image data in an autonomous driving vehicle. Sensor data acquired by one or more types of sensors deployed on the vehicle are continuously received. The sensor data provide different information about surrounding of the vehicle. Based on a first data set acquired by a first sensor of a first type of the one or more types of sensors at a specific time, an object is detected, where the first data set provides a first type of information about the surrounding of the vehicle. Depth information of the object is then estimated via object centric stereo at object level based on the object detected as well as a second data set acquired by a second sensor of the first type of the one or more types of sensors at the specific time. The second data set provides the first type of information about the surrounding of the vehicle with a different perspective as compared with the first data set.

Abstract: A method for enhancing a wide angle image to improve the perspectives and the visual appeal thereof wide-angle images uses custom adaptive dewarping. The method is based on the scene image content of recognized objects in the image, the position of these objects in the image, the depth of these objects in the scene with respect to other objects and the general context of the image.

Abstract: Systems and methods for reducing or eliminating undesired effects of retro-reflections in imaging are disclosed. A system for reducing the undesired effects of retro-reflections may include an illuminator and an optical receiver. The illuminator is configured to emit an illumination signal for illuminating a scene. The optical receiver is configured to receive returned portions of the illumination signal scattered or reflected from the scene. Return signals from retroreflectors present in the scene may oversaturate or otherwise negatively affect sensors in the optical receiver. To limit return signals from retroreflectors that may be present in the scene, the illuminator and optical receiver are physically separated from each other by an offset distance that limits or prevents retro-reflections from the retroreflectors from being received by the optical receiver.

Abstract: Various systems and techniques for intuitively and non-obstructively obtaining awareness of fellow collaborator views and/or statuses in an augmented reality environment are disclosed. An interaction is detected between a first and second HMD, both collaborative participants of a shared dataset represented in an augmented reality environment. The detected interaction can cause the first HMD to request state information associated with the second HMD. The second HMD can process the request in accordance with a privacy policy to generate a set of visual data as a response to the request. The second HMD can communicate the generated set of visual data to the first HMD, such that the first HMD can render the received set of visual data as additional computer-generated object(s) to be displayed concurrently with its own augmented view.

Abstract: An apparatus for calculating torque and force about body joints to predict muscle fatigue includes a processor configured to receive image frames depicting a subject. The processor is configured to execute at least one machine learning model using the image frames as an input, to generate a 2D representation of the subject, a subject mass value for the subject based on the 2D representation, and a 3D representation of the subject based on the 2D representation, where the 3D representation includes a temporal joints profile. The processor is further configured to compute each torque value for each joint of the subject from the 3D representation, based on the subject mass value. The processor is further configured to generate a muscle fatigue prediction for each joint of the subject, based on a set of torque values and a torque threshold.

Abstract: Embodiments of the subject matter described herein provide a wearable device enabling multi-finger gestures. The wearable device generally includes a first sensor, a second sensor and a controller. The first sensor can detect a first set of one or more movements of a first finger of a user. The second sensor can detect a second set of one or more movements of a second finger that is different from the first finger. The controller is configured to detect a multi-finger gesture by determining a relative movement between the first finger and the second finger based on the first and second sets of movements and to control a terminal device in association with the wearable devices based on the multi-finger gesture.

Abstract: Method and apparatus embodiments can generate a volume fluorescence image of a tooth. Method and apparatus embodiments can project structured light patterns onto a tooth and generate a contour (volume) image of the tooth surface from acquired corresponding structured light projection images; then acquire one or more fluorescence images of the tooth generated under blue-UV illumination. A composite image that shows fluorescence image content mapped to the generated contour image can be transmitted, stored, modified and/or displayed.

Abstract: An imaging apparatus of the present disclosure includes: a plurality of pixel blocks that each includes a plurality of light-receiving pixels including color filters of mutually the same color, the plurality of light-receiving pixels being divided into a plurality of pixel pairs each including two light-receiving pixels; and a plurality of lenses provided at respective positions corresponding to the plurality of pixel pairs.

Abstract: This disclosure provides a parameter obtaining method and a terminal device, and relates to the field of communications technologies, to resolve a problem that calibration of a distance sensor is relatively complex. The method includes: obtaining a preview image of a target object in a shooting preview screen; obtaining a first measurement value of a distance sensor when a degree of coincidence between the preview image and a calibration area in the shooting preview screen exceeds a threshold; and obtaining a calibration offset corresponding to the target object based on the first measurement value and the calibration distance.

Abstract: A stress measurement device includes a first obtaining unit obtaining thermal data including information indicating a temperature of a measuring region, a second obtaining unit obtaining data related to stress occurring in one part of the measuring region, and a controller finding stress occurring in the measuring region from the thermal data and the data related to the stress. The controller finds, first waveform data respectively on the one part and a part other than the one part based on a change with time of the thermal data, and second waveform data based on a change with time of the data related to the stress. The controller finds, disturbance data through a deduction of the second waveform data from the first waveform data on the one part, and stress data indicating stress occurring in the part through a deduction the disturbance data from the first waveform data on the part.

Abstract: The methods and systems described herein provide for depth-aware image editing and interactive features. In particular, a computer application may provide image-related features that utilize a combination of a (a) the depth map, and (b) segmentation data to process one or more images, and generate an edited version of the one or more images.

Abstract: A method of performing fault isolation for an aircraft comprises identifying a fault that occurs during a flight of the aircraft; identifying a first set of parameters associated with the aircraft based on the identification of the fault; automatically determining values of the first set of parameters to obtain a first set of measured values; determining whether the first set of measured values are within acceptable ranges; and identifying a source of the fault based on the determination of whether the first set of measured values are within the acceptable ranges.

Abstract: A method of transfer learning an object recognition neural network comprises acquiring a set of image frames; determining, by a first object recognition algorithm implementing an object recognition neural network, a plurality of object recognitions in the set of image frames; determining verified object recognitions by evaluating the plurality of object recognitions by a second, different from the first, object recognition algorithm, wherein an object recognition with a positive outcome in said evaluating forms a verified object recognition; forming a training set of annotated images comprising image frames associated with the verified object recognitions; performing transfer learning of the object recognition neural network based on the training set of annotated images.

Abstract: The present invention relates to the field of video encoding. In particular, it relates to a method 300 of encoding images captured by a camera and to an image processing device. An image sequence captured with an image sensor of the camera is obtained S310, and an oscillation frequency of a periodic movement of the camera during capturing of the image sequence is determined S320. A base subset of images of the image sequence corresponding to the oscillation frequency is identified S330 and the base subset of images are encoded S340 into an encoded video stream comprising intra frames and inter frames.

Abstract: This application provides a calibration device and a method. The calibration device includes calibration boards arranged at intervals and having board surface parallel to each other, a guide rail disposed at peripheries of the calibration boards, TOF cameras, and a controller. Support frames are arranged at intervals on the guide rail, and the TOF cameras are mounted on the guide rail using the support frames. Distances between the calibration surfaces and the corresponding TOF cameras are different. The controller is connected to the guide rail and the TOF cameras, and configured to send a first set of timing control signals to control the guide rail to carry the TOF cameras to move along the guide rail, and send a second set of timing control signals to the TOF cameras to control the TOF cameras to work simultaneously or alternately to measure distance values between the TOF cameras and the corresponding calibration boards.

Abstract: Example systems, devices, media, and methods are described for tracking one or more movable objects and presenting virtual elements on a display in proximity to the tracked movable objects. One or more ultra-wideband (UWB) transmitters are mounted to each movable object in a physical environment including at least two synchronized UWB receivers. The receivers calculate a current location of each movable object. A plurality of portable electronic devices, including one or more eyewear devices, are paired with the receivers in a network. A localization application determines a current location of each eyewear device. A rendering application presents one or more virtual elements on a display as an overlay relative to the current movable object location and in relative proximity to the current eyewear location. The physical environment is represented by a static mesh. A time synchronized tracking application identifies moving items that are not coupled to a UWB transmitter.

Abstract: Described in detail herein are systems and methods for generating computerized models of structures using geometry extraction and reconstruction techniques. The system includes a computing device coupled to a input device. The input device obtains raw data scanned by a sensor. The computing device is programmed to execute a data fusion process is applied to fuse the raw data, and a geometry extraction process is performed on the fused data to extract features such as walls, floors, ceilings, roof planes, etc. Large- and small-scale features of the structure are reconstructed using the extracted features. The large- and small-scale features are reconstructed by the system into a floor plan (contour) and/or a polyhedron corresponding to the structure. The system can also process exterior features of the structure to automatically identify condition and areas of roof damage.

Abstract: A super-resolution microscope avoids the need for complex phase plate optics normally used to produce a doughnut-shaped depletion beam by employing low-intensity regions of common diffraction patterns such as an Airy disk.

Abstract: There is provided with an image processing apparatus. An obtaining unit obtains a moving image including a plurality of images. A density estimating unit estimates a density distribution of a target object based on an image of the plurality of images. A position estimating unit estimates a position of the target object in the image based on the density distribution. A measuring unit measures a flow of the target object from positions of the target object in the plurality of images.

Abstract: A method for cutting side plates and end plates of a scrapped railway boxcar aims to improve low disassembling efficiency as it is difficult to disassemble the scrapped railway boxcar. The steps of cutting the side plates includes: A1: cutting a top of an upper side plate; A2: performing cutting downwards, dividing the upper side plate, and then cutting the left upper side plate; A3: cutting the right upper side plate; A4: cutting a lower side plate; A5: cutting off upper channel steel on columns; A6: cutting off lower channel steel on the columns; and A7: cutting the columns. The method avoids complicated working conditions of directly cutting angle iron, the channel steel, multilayer boards and closed regions, so that the cutting efficiency of the side plates and the end plates of the boxcars is improved. Moreover, automatic cutting can be realized according to a set cutting path.

Abstract: An image processing system includes a computing platform having processing hardware, a display, and a system memory storing a software code. The processing hardware executes the software code to receive a digital object, surround the digital object with virtual cameras oriented toward the digital object, render, using each one of the virtual cameras, a depth map identifying a distance of that one of the virtual cameras from the digital object, and generate, using the depth map, a volumetric perspective of the digital object from a perspective of that one of the virtual cameras, resulting in multiple volumetric perspectives of the digital object. The processing hardware further executes the software code to merge the multiple volumetric perspectives of the digital object to form a volumetric representation of the digital object, and to convert the volumetric representation of the digital object to a renderable form.

Abstract: An image noise compensating system, comprising: a distance determining device, configured to determine whether a distance is larger than a distance threshold or not; an image sensor, comprising at least one image sensing unit, wherein the image sensor forms a combined image sensing unit when the distance is smaller than the distance threshold and senses images without forming the combined image sensing unit when the distance is larger than the distance threshold, wherein a width of an area that the combined image sensing unit can sense is larger than a width of an area that the image sensing unit can sense; a noise compensating circuit, configured to compensate image noises; and a control circuit, configured to calculate a location of the image noise compensating system.

Abstract: A computing system is provided. The computing system includes a head mounted display (HMD) device including a display, a processor configured to execute one or more programs, and associated memory. The processor is configured to display a virtual object at least partially within a field of view of a user on the display, identify a plurality of control points associated with the virtual object, and determine that one or more of the control points associated with the virtual object are further than a predetermined threshold distance from the user. The processor is configured to, based on the determination, invoke a far interaction mode for the virtual object and receive a trigger input from the user. In response to the trigger input in the far interaction mode, the processor is configured to invoke a near interaction mode and display a virtual interaction object within the predetermined threshold distance from the user.

Abstract: Various techniques pertaining to methods, systems, and computer program products identify, for a first portable device at a first location in a three-dimensional (3D) physical environment, a first sparse map, the first portable device connected to a remote computing system for accessing sharable world data of the 3D physical environment that comprises a physical object, wherein the plurality electronic devices include the plurality of portable devices having respective sparse maps installed thereupon. A second sparse map is identified for a second portable device connected to the remote computing system for accessing the sharable world data. The second portable device performs content persistence for a virtual content relative to the physical object at least by using a merged map determined by merging a version of the first sparse map and a version of the second sparse map based at least in part upon one or more persistence coordinate frames.

Abstract: A method is presented. The method includes receiving a first sequence of frames depicting a dynamic element. The method also includes decomposing each spatial position from multiple spatial positions in the first sequence of frames to a frequency domain. The method further includes determining a distribution of spectral power density over a range of frequencies of the multiple spatial positions. The method still further includes generating a first set of feature maps based on the determined distribution of spectral power density over the range of frequencies. The method still further includes estimating a first physical property of the dynamic element.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting of video analytics rules for camera movement. The methods, systems, and apparatus include actions of obtaining a rule that specifies a first set of coordinates applied to a first set of images from a camera, determining an amount and direction of movement of the camera after the rule was obtained, determining, based on the amount and direction of movement of the camera, a second set of coordinates applied to a second set of images captured after the camera moved.

Abstract: In one embodiment, a computing system may determine, a predicted eye position of a viewer corresponding to a future time moment for displaying a frame. The system may generate a first correction map for the frame based on the predicted eye position of the viewer. The system may retrieve one or more second correction maps used for correcting one or more proceeding frames. The system may generate a third correction map based on the first correction map generated based on the predicted eye position of the viewer and the one or more second correction maps used for correcting the one or more proceeding frames. The system may adjust pixel values of the frame based at least on the third correction map. The system may output the frame with the adjusted pixel values to a display.

Abstract: Provided are a structured light projector that generates and projects structured light, and an electronic apparatus including the structured light projector. The structured light projector includes an illuminator configured to emit light, a pattern mask configured to form structured light by partially transmitting and partially blocking incident light from the illuminator based on a pattern of the pattern mask, and a lens configured to project the structured light. The illuminator includes a plurality of illumination areas respectively facing a plurality of areas of the pattern mask, wherein intensities of lights respectively emitted by the plurality of illumination areas are different from one other.

Abstract: The present disclosure discloses a real-time ranging method of a common-virtual-axis three-dimensional (3D) camera based on YOLOv3-tiny, including: acquiring, by the common-virtual-axis 3D camera, a far image and a near image on a same optical axis; processing image data of the near image and image data of the far image by using a YOLOv3-tiny target-recognition neural-network acceleration algorithm; determining, according to the processed image data, two target recognition frames corresponding to a preset recognized object on the far image and the near image; performing curvature scale space (CSS) corner recognition on image data in the target recognition frames; obtaining an average value of distances from far and near corners to a center point of the image data in each of the target recognition frames according to recognized corner coordinates; and substituting the obtained average value into an optical relation of the common-virtual-axis 3D camera, to obtain distance information.

Abstract: Generating a correction algorithm includes obtaining a model of an eye, the model including a front portion with optics to mimic a cornea and a lens of a human eye, and a rear portion having a generally hemispherical-shaped body to mimic a retina of the human eye. The rear portion includes physical reference lines on an inside surface of the generally hemispherical-shaped body. Images of the model are captured using an image capturing device aimed at the model. Vertices of the physical reference lines are identified according to a given projection technique for displaying generally hemispherical-shaped body in a two-dimensional image in the captured images. Idealized placement of the vertices of the physical reference lines is obtained according to the given projection technique. The result is a correction algorithm used to adjust any pixel of an image of an actual eye in the x-axis and in the y-axis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for enhanced property access with video analytics. In some implementations, images of a first area captured by a camera are obtained. A number of persons in the first area is determined from the images. Data indicating one or more unique identifications is received. A number of persons who are authorized to access a second area are determined. Access is provided to the second area.

Abstract: A three-dimensional display apparatus comprises a display panel (display element) and a parallax barrier (optical element). The display panel displays a left-eye image and a right-eye image respectively in first subpixels and second subpixels. The parallax barrier transmits at least part of the left-eye image toward the left eye, and at least part of the right-eye image toward the right eye. A first certain number of the first subpixels and of the second subpixels are each successively arranged in each column. A region in which the first subpixels are arranged and a region in which the second subpixels are arranged are displaced from each other by a second certain number between two adjacent columns. The first certain number is greater than the second certain number and is not a multiple of the second certain number.

Abstract: An apparatus and a method image classification based positioning are provided. For image-based positioning to predict a camera pose from image data, a positioning apparatus obtains a prediction result indicating which cell the image data belongs to among cells constituting a space for positioning from a classification network that processes the image data based on a pre-learned weight. The positioning apparatus obtains map information on the space for positioning by using a cell index selected based on the prediction result, and the map information includes minimum and maximum values of coordinates constituting a cell for each cell index, and a cell size. A position of the image data based on the map information is calculated to output a corresponding camera pose.

Abstract: Defects of substrates are inspected when executing a job in which a treatment recipe for substrates and the substrates being treatment objects are designated to perform predetermined treatments on the substrates. An imaging step successively images substrates. A first determination step decomposes, in order from the substrate as head of the job, a planar distribution of pixel values in a substrate image captured at the imaging step into pixel value distribution components using a Zernike polynomial, calculates Zernike coefficients of the pixel value distribution components corresponding to defects to be detected, and determines presence or absence of a defect based on the calculated Zernike coefficients. A second determination step determines, from predetermined timing after one or more substrates is determined to have no defect at the first determination step, presence or absence of a defect based on the substrate image determined to have no defect at the first determination step.

Abstract: An image processing apparatus comprises a first detection circuits that detect a predetermined partial area from image data separately using a first method and a second method; and second detection circuits that detect a predetermined feature area from data of the detected partial areas. The apparatus selects, as a final detection result of the feature area, one of a detection result of the feature area for the partial area detected using the first method and a detection result of the feature area for the partial area detected using the second method, wherein the partial areas are related to an identical subject.

Abstract: Systems and methods for providing a virtual space for multiple devices can include a first device having at least one sensor configured to acquire a spatial information of a physical space of the first device. The first device may include at least one processor configured to establish, according to the acquired spatial information, a virtual space corresponding to the physical space, that is accessible by a user of the first device via the first device. The at least one processor may further be configured to register a second device within the physical space, to allow a user of the second device to access the virtual space via the second device.

Abstract: A patch scanning display apparatus and a technique for reconstructing a target image frame on a projection surface is disclosed. The patch scanning display apparatus includes a backlight and a spatial light modulator (SLM). An optical scanning device scans the image projected by the SLM across the projection surface in accordance with a scan trajectory. A decomposition model is used to generate a set of image patches based on the target image frame and the scan trajectory. In an embodiment, the decomposition model is a projective non-negative matrix factorization model. The set of image patches are utilized to generate a modulation signal for the SLM and a binary backlight signal is then generated for each time step of the scan trajectory within a frame period to activate or deactivate the light-emitting elements of the backlight during the frame period at a high refresh rate while the projected image is scanned.

Abstract: A camera module includes a lens driving device having a housing, a first circuit board disposed below the housing, a filter disposed on an upper surface of the first circuit board, a second circuit board disposed below the first circuit board, an image sensor disposed on the second circuit board and coupled to a lower surface of the first circuit board, and a first adhesive member disposed between the lower surface of the first circuit board and an upper surface of the second circuit board, and electrically connecting the first circuit board and the second circuit board. A lower surface of the image sensor is higher than the upper surface of the second circuit board.

Abstract: An apparatus for providing an around view comprises: first and second cameras for acquiring first and second image information; and a processor. The processor can generate an around view image including a first area including a subject overlapping area and a second area excluding the subject overlapping area, on the basis of first and second images. The subject overlapping area is disposed between first and second boundary lines in the first and second images. The first boundary line is located in the first area, and the second boundary line adjoins the second area. If it is predicted that a first object will pass through the second boundary line due to the first object approaching within a predetermined distance thereto, the processor can generate an around view image in which the second area is changed so that the second area includes the subject overlapping area.

Abstract: An OCT examination device for recording an object comprises an OCT radiation source which emits OCT radiation, an OCT beam path, a housing, an exit opening formed in the housing for the OCT radiation of the OCT radiation source, an OCT exit direction of the radiation through the exit opening, a control unit connected to the OCT radiation source OCT radiation and configured to record a multiplicity of measurement profiles mutually separated in a recording period and, within the recording period, to drive the OCT radiation source in order to emit the OCT radiation and the OCT radiation receiver in order to receive the backscattered OCT radiation, and to keep an OCT output direction and an OCT exit direction constant with respect to one another in their angular orientation during the recording period.

Abstract: A vehicular trailering assist system includes a vehicle rear backup camera disposed at a rear portion of a vehicle and viewing at least rearward of the vehicle. A trailer hitched to the vehicle includes a trailer rear camera disposed at a rear portion of the trailer and viewing at least rearward of the trailer. The control displays at a display device in the vehicle a surround view image using an avatar of the vehicle and an avatar of the trailer. The control stitches images derived from image data captured by the vehicle rear backup camera and images derived from the trailer rear camera to provide a transparent trailer view, and the display device displays transparent trailer view video images. Responsive to the vehicle being shifted into a reverse gear, the display device automatically displays rear backup images derived from image data captured by the trailer rear camera.

Abstract: In one embodiment, a computing system may determine, a predicted eye position of a viewer corresponding to a future time moment for displaying a frame. The system may generate a first correction map for the frame based on the predicted eye position of the viewer. The system may retrieve one or more second correction maps used for correcting one or more proceeding frames. The system may generate a third correction map based on the first correction map generated based on the predicted eye position of the viewer and the one or more second correction maps used for correcting the one or more proceeding frames. The system may adjust pixel values of the frame based at least on the third correction map. The system may output the frame with the adjusted pixel values to a display.