A method for updating biometric authentication data authenticates an input image using an enrollment database (DB) over a first length of time, the authentication including generating information for authenticating the input image, and updates the enrollment DB based on the first length time and the information for authenticating the input image.

Systems and methods for dynamically and automatically generating digital watermarks are provided. Watermark payloads utilized in generating the digital watermarks are altered based upon changing conditions, such as environmental characteristics associated with playback or distribution of media content. Changing conditions may also encompass a change in the distribution/presentation chain of devices associated with the playback or distribution of the media content.

A surroundings monitoring system for a work machine includes a memory and a processor coupled to the memory. The processor is configured to detect an obstacle present around the work machine and control an output apparatus mounted on the work machine. The processor is configured to display an output image on a display apparatus. The output image includes an image part generated using a captured image of an image capturing apparatus attached to the work machine and an icon of the work machine. The processor is configured to highlight, among image parts around the icon, an image part corresponding to a direction in which or a position at which the detected obstacle is present.

A surroundings monitoring system for a work machine includes a memory and a processor coupled to the memory. The processor is configured to detect an obstacle present around the work machine and control an output apparatus mounted on the work machine. The processor is configured to display an output image on a display apparatus. The output image includes an image part generated using a captured image of an image capturing apparatus attached to the work machine and an icon of the work machine. The processor is configured to highlight, among image parts around the icon, an image part corresponding to a direction in which or a position at which the detected obstacle is present.

To obtain an image desired by a user by performing an intuitive operation. An image display system includes a first display control unit that displays a reference image on a display surface, and a second display control unit that selectably displays a plurality of candidate images each having image information different from the reference image in the periphery of a display area of the reference image on the display surface, wherein each image data of the plurality of candidate images is included in a search area on a predetermined space determined based on the image data of the reference image.

The disclosure relates to assessing operation of two or more cameras. These cameras may be a group of cameras of a perception system of a vehicle having an autonomous driving mode. A first image captured by a first camera and a second image captured by a second camera may be received. A first feature vector for the first image and a second feature vector for the second image may be generated. A similarity score may be determined using the first feature vector and the second feature vector. This similarity score may be used to assess the operation of the two cameras and an appropriate action may be taken.

There is provided a method for embedding a digital watermark into and extracting a digital watermark from a numerical data set. In accordance with embodiments of the present disclosure, there is provided a method for embedding a digital watermark into a numerical data set. The method includes selecting portions of the numerical data set identified as data noise, the selected portions to be used for embedding the digital watermark into the numerical data set, the digital watermark being unique for each recipient of the numerical data. The method further includes replacing the least significant bit (LSB) of at least some of the selected portions of the numerical data set with at least portion of the digital watermark.

A method is provided for watermarking a machine learning model used for object detection or image classification. In the method, a first subset of a labeled set of ML training samples is selected. The first subset is of a predetermined class of images. In one embodiment, the first pixel pattern is selected and sized to have substantially the same dimensions as each sample of the first subset or each bounding box in the case of an object detector. Each sample of the first subset is relabeled to have a different label than the original label. An opacity of the pixel pattern may be adjusted independently for different parts of the pattern. The ML model is trained with the labeled set of ML training samples and the first subset of relabeled ML training samples. Using multiple different opacity factors provides both reliability and credibility to the watermark.

Embodiments relate to using sensor data and location data from a device to generate augmented reality images. A mobile device pose can be determined (a geographic position, direction and a three dimensional orientation of the device) within a location. A type of destination in the location can be identified and multiple destinations can be identified, with the mobile device receiving queue information about the identified destinations from a server. A first image can be captured. Based on the queue information, one of the identified destinations can be selected. The geographic position of each identified destination can be identified, and these positions can be combined with the mobile device pose to generate a second image. Finally, an augmented reality image can be generated by combining the first image and the second image, the augmented reality image identifying the selected one destination.

An image generation device includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: select a second face image from a plurality of face images stored in advance based on directions of faces included in the plurality of face images and a direction of a face included in an input first face image; deform the second face image based on feature points of the face included in the first face image and feature points of a face included in the second face image such that a face region of the second face image matches a face region of the first face image; and generate a third face image in which the face region of the first face image is synthesized with a region other than the face region of the deformed second face image.