Methods and systems are disclosed for performing operations for recoloring a fashion item. The operations include receiving an image that includes a depiction of a person wearing a fashion item. The operations include generating a segmentation of the fashion item worn by the person depicted in the image. The operations include extracting a portion of the image corresponding to the segmentation of the fashion item. The operations include estimating lights and shadows being cast on the fashion item in the portion of the image. The operations include applying one or more augmented reality elements to the fashion item in the image based on the lights and shadows being cast on the fashion item.

The present disclosure relates to methods of analyzing works of art for purposes of authentication or attribution. Such methods may be implemented by receiving digital image data associated with a work of art, identifying a plurality of artist's strokes formed along a surface of the work of art, segmenting the plurality of strokes into a plurality of individual strokes, analyzing the plurality of individual strokes to determine stroke characteristics, and comparing the stroke characteristics to stroke characteristics derived from one or more computational models based on known works of art.

An information processing device (10) includes a decision unit (23e) and a generation. unit (23f). The decision unit (23e) decides connection order of divided scenes obtained by dividing a free-viewpoint video based on a multi-viewpoint video obtained by imaging content, based on a feature amount of a given. sound and similarities between respective connection frames in the divided scenes. The generation unit (23f) generates free-viewpoint content in which the divided scenes are connected in the connection order decided by the decision unit (23e).

Method for receiving an input onto a graphical user interface at a client device, capturing an image frame at the client device, the image frame comprising a depiction of an object, identifying the object within the image frame, accessing media content associated with the object within a media repository in response to identifying the object, and causing presentation of the media content within the image frame at the client device.

Methods and systems are disclosed for performing operations for recoloring a fashion item. The operations include receiving an image that includes a depiction of a person wearing a fashion item. The operations include generating a segmentation of the fashion item worn by the person depicted in the image. The operations include extracting a portion of the image corresponding to the segmentation of the fashion item. The operations include estimating lights and shadows being cast on the fashion item in the portion of the image. The operations include applying one or more augmented reality elements to the fashion item in the image based on the lights and shadows being cast on the fashion item.

According to one embodiment, an image data of a measurement object including a pattern is acquired. First data is acquired by extracting a contour of an element in composition of the pattern from the image data. Second data that specifies a design data of the measurement object and the pattern of the measurement object is acquired. The design data includes a pattern data. A measurement pattern is extracted by using the first data and the second data. An evaluation value for the measurement pattern with respect to the design data is calculated based on the difference between the measurement pattern and the design data.

One of the objects of the present invention is to provide an image processing device that is able to track feature points of object accurately even under occlusion.

An image processing device according to one of the exemplary aspects of the present invention includes: feature extraction means for extracting features from an image based on a shape which includes sub parts each being one or more feature points each being correlated with a position of an object imaged in the image; alignment means for deriving an estimated shape by applying, to an initial shape, a model in models which include a global model representing a relation between the feature and the motion of the shape, and local models each representing a relation between the feature and the motion of a sub part in the sub parts; occlusion detection means for detecting, in the sub parts, an occluded sub part by comparing the estimated shape from a previous image and the estimated shape which is derived from the image by applying the global model; and estimation means for selecting, in the local models, local models each restricts the motion of the sub part that is detected as the occluded sub part, and combining estimated shape derived by applying the selected local models to generate a final output.

Described herein are methods and systems for closed-form 3D model generation of non-rigid complex objects from scans with large holes. A computing device receives (i) a partial scan of a non-rigid complex object captured by a sensor coupled to the computing device; (ii) a partial 3D model corresponding to the object, and (iii) a whole 3D model corresponding to the object, wherein the partial 3D scan and the partial 3D model each includes one or more large holes. The device performs a rough match on the partial 3D model and changes the whole 3D model using the rough match to generate a deformed 3D model. The device refines the deformed 3D model using a deformation graph, reshapes the refined deformed 3D model to have greater detail, and adjusts the whole 3D model according to the reshaped 3D model to generate a closed-form 3D model that closes holes in the scan.

In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.

Disclosed are computer-readable devices, systems and methods for generating a model of a clothed body. The method includes generating a model of an unclothed human body, the model capturing a shape or a pose of the unclothed human body, determining two-dimensional contours associated with the model, and computing deformations by aligning a contour of a clothed human body with a contour of the unclothed human body. Based on the two-dimensional contours and the deformations, the method includes generating a first two-dimensional model of the unclothed human body, the first two-dimensional model factoring the deformations of the unclothed human body into one or more of a shape variation component, a viewpoint change, and a pose variation and learning an eigen-clothing model using principal component analysis applied to the deformations, wherein the eigen-clothing model classifies different types of clothing, to yield a second two-dimensional model of a clothed human body.