Embodiments of this application disclose a face detection method and apparatus, a service processing method, a terminal device, and a storage medium. The method can include obtaining a to-be-detected target facial image, and performing a hierarchical fitting training by using a face alignment algorithm and a sample data set to obtain a target face alignment model. Further, the method can include invoking the target face alignment model to perform a face alignment detection on the target facial image, to obtain a target key point set of the target facial image, and determining a feature area of the target facial image according to the target key point set.

Disclosed are a vehicle and a control method thereof configured for performing a vehicle control to detect lighting irradiated from a lamp at the time of vehicle parking and park the vehicle safely and accurately. The vehicle includes a lamp configured to irradiate lighting to a ground, a camera configured to photograph the lighting irradiated to the ground to obtain information on a form of the lighting of the lamp, and a controller configured to determine at least one of the form of the ground to which the lighting is irradiated and whether or not an obstacle exists on the ground to which the lighting is irradiated, based on the information on the obtained form of the lighting of the lamp.

An object of the present invention is to provide an image processing device, an endoscope system, and an image processing method capable of observing an accurate structure of a subject while preventing a substantial decrease in a frame rate in a case where an image is acquired using a plurality of observation lights. An image processing device according to a first aspect of the present invention includes an image input unit that inputs a first image and a second image captured at different times, in which the image input unit inputs the first image captured with first observation light and the second image captured with second observation light different from the first observation light; a parameter calculation unit that calculates a parameter for registering the first image and the second image; an image generation unit that applies the parameter to the first image to generate a registered first image; and a display control unit that causes a display device to sequentially display the input first image and the generated registered first image.

An image processing method includes: obtaining a first target face image in a reference expression state; obtaining user face key point offset information that includes offsets between face key points of a user in a target expression state and face key points of the user in the reference expression state; adjusting face key points of the first target face image in the reference expression state according to the user face key point offset information; and attaching, in a to-be-processed image including a second target face image, an expression texture image of the adjusted first target face image to the second target face image, the second target face image and the first target face image belonging to a same target.

Sparse phase unwrapping is disclosed. A first image and a second image are received. The first image and the second image are coregistered. The first image and the second image comprise respective phase data. An unwrapped interferogram is generated, including by solving an optimization problem using a nonconvex penalty function, where minimizing the penalty function produces sparse minimizers.

Various examples are provided for obtaining body measurements of a user, predicting body measurements of a user, and/or the like. Examples include a coded dimensioning garment having a stretchable fabric that conforms to a wearer's body without substantial compression or distortion of the skin. The garment can include measurement markings of known sizes at one or more known locations on the fabric. Methods are provided for predicting body measurements from a user. Image(s) of a user wearing the garment in a reference pose are captured and can be uploaded to a body measurement application. The real-world dimensions can be converted to pixel dimensions in the same ratio as the real world dimensions and inputted into a prediction model to generate measurements from areas of interest on the user.

Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data. Techniques and tools for inserting electronic handwriting data into a digital image also are disclosed.

The present invention includes an apparatus and method for determining time-varying stress experienced by a structure comprising: obtaining images that include the structure; segmenting the second and any subsequent images to include the static portions that are identified from the first image; computing with a processor the affine transformations between the first and second, and optionally subsequent images, sequence of images; estimating a deformation (i.e. translation and rotation) undergone by the structure; and converting the deformation to estimate the structural stress by using one or more scaling functions) to generate the time-varying stress experienced by the structure.

A method is provided. The method includes acquiring simultaneously multiple magnetic resonance (MR) images and multiple ultrasound images of an anatomical region of a subject over a scanned duration. The method also includes training an unsupervised deep learning-based deformable registration network. This training includes training a MR registration subnetwork based on the multiple MR images to generate MR deformation and transformation vectors, training an ultrasound registration subnetwork based on the multiple ultrasound images to generate ultrasound deformation and transformation vectors, and training a MR-to-ultrasound subnetwork based the multiple MR images and the multiple ultrasound images to generate MR-to-ultrasound deformation and transformation vectors between corresponding pairs of MR images and ultrasound images at each time point.

Methods and systems are provided for electronic authentication. A modified electronic image is generated by altering at least a pixel of an electronic image. The electronic image is an image that has been previously viewed by a user during a setup process. In response to receiving an authentication request from the user, the modified electronic image is displayed to the user via an electronic display along with one or more other electronic images. A determination is made as to whether the user is able to recognize the modified electronic image. In response to determination that the user is able to recognize the modified electronic image, the authenticating request is granted.