Abstract: An image processing method includes receiving an image source, and detecting whether the image source is a high dynamic range (HDR) image. If the image source is the HDR image, reading a first image adjustment value, and performing color adjustment to the image source according to the first image adjustment value.

Abstract: An image data is convolved with one or more kernels and corresponding one or more feature maps generated. Region of interest maps are extracted from the one or more feature maps, and pooled based on one or more features selected as selective features. Pooling generates a feature vector with dimensionality less than a dimensionality associated with the one or more feature maps. The feature vector is flattened and input as a layer in a neural network. The neural network outputs a classification associated with an object in the image data.

Abstract: A recording reproduction apparatus includes: a captured data acquisition unit configured to acquire first captured data captured by a first camera that captures an image of an outside of a moving body and second captured data captured by a second camera that captures an image in a direction opposed to a display surface of a display unit; an event detection unit configured to detect an event on the moving body; a recording controller configured to store, when an event has been detected, the first captured data as event recording data; a face detection unit configured to detect a human face from the second captured data; a reproduction controller configured to reproduce the event recording data when a human face has been detected within a period after storage of the event recording data; and a display controller configured to cause the display unit to display the reproduced event recording data.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for preview in iris recognition are provided. One of the methods includes: obtaining an iris image and a facial image of a user; determining a preview image corresponding to the iris image based on the facial image; and displaying the determined preview image.

Abstract: A method of inspecting a component using an image inspection controller that includes a processor communicatively coupled to a memory includes classifying each sample image in a first database as a first sample or a second sample using a classification module, extracting at least one class generic feature from each first sample to generate a plurality of class generic features, and extracting at least one class specific feature from each second sample to generate a plurality of class specific features. The method further includes combining the class generic features and the class specific features to generate a plurality of supplemental images. The method further includes storing the sample images and the supplemental images in a second database, classifying each sample image and each supplemental image, capturing at least one image of the component using a camera, and identifying at least one feature of the component in the at least one image of the component using the classification module.

Abstract: Embodiments described herein provide various examples of a visual-haptic feedback system for generating a haptic feedback signal based on captured endoscopy images. In one aspect, the process for generating the haptic feedback signal includes the steps of: receiving an endoscopic video captured for a surgical procedure performed on a robotic surgical system; detecting a surgical task in the endoscopic video involving a given type of surgical tool-tissue interaction; selecting, a machine learning model constructed for analyzing the given type of surgical tool-tissue interaction; for a video image associated with the detected surgical task depicting the given type of surgical tool-tissue interaction, applying the selected machine learning model to the video image to predict a strength level of the depicted surgical tool-tissue interaction; and then providing the predicted strength level to a surgeon performing the surgical task as a haptic feedback signal for the given type of surgical tool-tissue interaction.

Abstract: Digital fingerprinting systems, devices, and methods are arranged to acquire image data of a portion of a surface of a physical object, and further arranged to construct a model of the portion of the surface of the physical object from the image data. A digital fingerprint based on the model is extracted, and the physical object is inducted into a reference database system by storing a record in the reference database system that includes the digital fingerprint of the model.

Abstract: The present disclosure provides an image processing system and method. The system includes an image capturing unit and an image processing unit. The image capturing unit includes a camera, a light source, and a wafer transfer stage. The camera captures an image of a wafer mark. The light source is capable of projecting through a plurality of chemical residues on the wafer mark. The image processing unit includes an image processor and an object matching subsystem. The image processor is configured to perform calculations of the image processing unit to generate an output result. The object matching subsystem includes an object matching unit and a memory unit. The object matching unit includes an artificial intelligence (AI) statistical model for identifying each character of the wafer mark. The memory unit stores a set of probabilities of the object matching unit detecting each character of the wafer mark in each image.

Abstract: An occupant monitoring device includes: an acquisition unit that acquires a captured image obtained by imaging a region in which there is a probability that a face of an occupant is present in a vehicle; a determination unit that determines whether the captured image acquired by the acquisition unit corresponds to at least a first image not including a feature portion of the face of the occupant but including at least a part of a body of the occupant or a second image not including the body of the occupant; and a processing unit that monitors a state change of the face of the occupant based on the captured image, and switches whether or not an occupant parameter set for monitoring the state change of the face of the occupant is to be reset according to a determination result in the determination unit.

Abstract: The embodiments implement fraud-resistant biometric security based on polarization-based iris identification. The embodiments include identifying an iris based on unique patterns of polarized electromagnetic radiation (EMR) received from the iris.

Abstract: A navigation augmentation system includes a vehicle including an imaging device operably connected to a navigation data fusion module for receiving and analyzing visual point of interest data, gyroscope data, and accelerometer data, wherein the navigation data fusion module is operably connected to a sensor compensation module and an autopilot module for controlling the navigation of the vehicle.

Abstract: Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

Abstract: Disclosed is a computer-implemented medical data processing method for planning a position of an electric stimulation device for neurostimulation of at least two target regions (TV1, . . . , TVN) disposed in an anatomical body part of a patient's body, the electric stimulation device (7) comprising at least two electric contacts, the method comprising executing, on at least one processor of at least one computer (3), steps of: a) acquiring (S1.1), at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions (TV1, . . . , TVN); b) determining (S1.2), by the at least one processor and based on the medical image data, target position data describing a position of each target region (TV1, . . . , TVN) in the anatomical body part; c) acquiring (S1.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A processing/filtering element utilizes occupancy map information and/or auxiliary patch information to determine relationships between patches in image frames and adjusts encoding/decoding and/or filtering or pre/post-processing parameters based on the determined relationships.

Abstract: An object classifier using a set of object definitions arranged in an object definition hierarchy including at least a first group of coarse-level object definitions and a second group of finer-level object definitions. The object classifier is arranged to configure a first object classification cycle and a second, subsequent, object classification cycle by selectively executing a first subset of object definitions from the categorization data in the first object classification cycle; and selectively executing a second, different, subset in the second object classification cycle.

Abstract: The disclosure discloses a calibration method and device, a storage medium and a processor. The method includes that: a calibration point is controlled to move on a predetermined motion track; a gaze track of a target object is acquired in a movement process of the calibration point; and a specified parameter is calibrated according to the predetermined motion track and the gaze track, the specified parameter is configured to predict a gaze point of the target object.

Abstract: A childcare support service offering system includes a terminal and a server. The terminal includes a camera and performs operation control and processing of transmitting terminal usage situation data including image data acquired by being picked up by the camera to the server. The server performs image analysis on the received image data, recognizes the user that watches the terminal, judges a gaze of the recognized user, and judges a degree of interest for the terminal based on the gaze. When the judged degree of interest becomes equal to or less than a predetermined threshold value, the server transmits a changing instruction for causing an operation in the terminal to be changed to another operation to the terminal.

Abstract: A method for extracting a person region includes detecting a face from a raw image input in real time; configuring a search range based on the detected face; extracting an outline of a person region by performing preprocessing on an image within the search range; configuring watershed markers on a background and a foreground of the image within the search range based on the extracted outline; performing a watershed transform based on the configured watershed markers; and separating the person region from the raw image using a result of the watershed transform.

Abstract: An information processing apparatus includes a recognition unit, a memory, a registration unit, and an extraction unit. The recognition unit performs recognition of one or more characters included in an image and outputs character information indicating the one or more characters. The memory stores a first specific character and a second specific character in association with each other. The first specific character has an index taking on a value lower than a predetermined value. The index indicates accuracy of the recognition performed by the recognition unit. The second specific character is output after the recognition unit performs the recognition of the first specific character. The registration unit registers at least one character or at least one character string as an extraction target.

Abstract: Methods, devices, and systems for expression transfer are disclosed. The disclosure includes capturing a first image of a face of a person. The disclosure includes generating an avatar based on the first image of the face of the person, with the avatar approximating the first image of the face of the person. The disclosure includes transmitting the avatar to a destination device. The disclosure includes capturing a second image of the face of the person on a source device. The disclosure includes calculating expression information based on the second image of the face of the person, with the expression information approximating an expression on the face of the person as captured in the second image. The disclosure includes transmitting the expression information from the source device to the destination device. The disclosure includes animating the avatar on a display component of the destination device using the expression information.