Ditto Technologies, Inc.

Dmitry Kornilov

Sergey Surkov

Sitaram Bhagavathy

Robert Charlie Daugherty

Robert Curtis Randolph

Andrey Nechaev

Embodiments of the present disclosure provide a recommendation system based on a user's physical/biometric features. In various embodiments, a system includes a processor configured to determine a physical characteristic of a user based at least in part on an image of the user. The processor is further configured to determine a correlation between the physical characteristic and a product, and generate a product recommendation based at least in part on the determined correlation.

Recommendation system, method and computer program product based on a user's physical features

Rendering glasses with shadows is disclosed, including: generating a face image corresponding to an image of a set of images based at least in part on a face model, wherein the set of images is associated with a user's face; generating a face with shadows image corresponding to the image based at least in part on shadows casted by a glasses model on the face model; generating a shadow transform based at least in part on a difference determined based at least in part on the face image and the face with shadows image; generating a shadowed image based at least in part on applying the shadow transform to the image; and presenting the shadowed image including by overlaying a glasses image associated with the glasses model over the shadowed image.

Rendering glasses shadows

Using computed facial feature points to position a product model relative to a model of a face is disclosed, comprising: obtaining a three-dimensional (3D) model of a user's face, wherein the 3D model of the user's face comprises a plurality of 3D points; determining a face normal that is normal to a plane that is determined based at least in part on a first subset of 3D points from the plurality of 3D points; determining a set of computed bridge points based at least in part on a second subset of 3D points from the plurality of 3D points and the face normal; and using the set of computed bridge points to determine an initial placement of a 3D model of a glasses frame relative to the 3D model of the user's face.

Using computed facial feature points to position a product model relative to a model of a face

Processing a set of images is disclosed, including: determining a set of user head measurements from a set of images; and determining a fit score corresponding to a glasses frames based at least in part on comparing the set of user head measurements to glasses frame measurements associated with the glasses frames.

Fitting glasses frames to a user

A system for fitting glasses frames to a user is disclosed. The system includes an interface for receiving images of a user's head at different angles. A processor compares user head measurements determined from the images with a database of glasses frame information that includes glasses frame measurements. One or more glasses frames are selected based on the comparison and the selected glasses frames are output.

Processing a set of images is disclosed, including: receiving a set of images; and searching for a representation of a user's face associated with the set of images and a plurality of sets of extrinsic information corresponding to respective ones of at least a subset of the set of images. Rendering a glasses frame is disclosed, including: receiving a selection associated with the glasses frame; rendering the glasses frame using at least a representation of a user's face and a set of extrinsic information corresponding to an image in a recorded set of images; and overlaying the rendered glasses frame on the image.

Growing community of inventors

Menlo Park, CA, United States of America

Dmitry Kornilov