Google Inc.

Like.com

Canesta, Inc.

Microsoft Technology Licensing, LLC

Leland Stanford Junior University

Intel Corporation

Googel Inc.

Salih Burak Gokturk

Munjal Shah

Vincent Olivier Vanhoucke

Dragomir Dimitrov Anguelov

Azhar H Khan

Diem Thanh Vu

Kuang-chih Lee

Danny Yang

Navneet Dalal

Lorenzo Torresani

Abbas Rafii

Xiaofan Lin

Baris Sumengen

Carlo Tomasi

Ashwin Devendrappa Tengli

Fahri Sürücü

Julie Baumgartner

Wei Zhang

Cyrus Soli Bamji

David Seungwon Paik

Sandy A Napel

Andrew Miller

Dan Chiao

Lorant Toth

Jacquie Phillips

Mark Moran

Emilio Rodriguez Antunez, Iii

Tianli Yu

Xinqiao Liu

Radek Grzeszczuk

Jean-Yves Bouguet

Ilhami H Torunoglu

Lars Fabian Krüger

Christopher Allen Beaulieu

Burak Acar

Christopher Frederick Beaulieu

Istvan Hernadvolgyi

Luca Bertelli

R Brooke Jeffrey, Jr

Florin Oswald

Kate Emma Whelan

Robert Moritz Buessow

Thomas Kotzmann

Acar Burak

Lorant Szasz-Toth

Muralidharan Venkatasubramanian

Eric Tholome

Matthias Zenger

Vinsensius Berlian Vega Satriardhi Naryanto

Burak Emir

A system and method for recommending clothing or apparel to a user. Activity of a user is detected in order to identify a set of items that are of interest to the user. One or more recommendation parameters may be determined for the used based at least in part on the individual items of clothing/apparel that are of interest to the user. Clothing/apparel content is selected for display to the user based on the recommendation parameters.

Photorealistic recommendation of clothing and apparel based on detected web browser input and content tag analysis

Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.

Gesture recognition system using depth perceptive sensors

Embodiments described herein facilitate or enhance the implementation of image recognition processes which can perform recognition on images to identify objects and/or faces by class or by people.

Techniques for enabling or establishing the use of face recognition algorithms

An index is provided that holds information about each image content item in a collection of items, For each image content item, a first information item identifying the image content item and its location on a network, and at least one of (i) a second information item identifying a signature value of an object in the image content, or (ii) identification of a recognized object in the image content.

System and method for use of images with recognition analysis

A similarity search may be performed on the image of a person, using visual characteristics and information that is known about the person. The search identifies images of other persons that are similar in appearance to the person in the image.

Computer-implemented method for performing similarity searches

An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

System and method for providing objectified image renderings using recognition information from images

A method and system using a data-driven model for monocular face tracking are disclosed, which provide a versatile system for tracking three-dimensional (3D) images, e.g., a face, using a single camera. For one method, stereo data based on input image sequences is obtained. A 3D model is built using the obtained stereo data. A monocular image sequence is tracked using the built 3D model. Principal Component Analysis (PCA) can be applied to the stereo data to learn, e.g., possible facial deformations, and to build a data-driven 3D model ('3D face model'). The 3D face model can be used to approximate a generic shape (e.g., facial pose) as a linear combination of shape basis vectors based on the PCA analysis.

Method and system using a data-driven model for monocular face tracking

An image-based content item is analyzed to determine one or more interests of a viewer of the content item. The analysis may include performing image analysis on the content item to determine geographic information that is relevant to an image of the content item. The one or more interests may be determined based on an assumption or probabilistic conclusion about a subject of the content item. Further, the one or more interests may be determined by applying one or more rules that utilize the geographic information. For some embodiments, a supplemental content item may be provided to the viewer based on the one or more interests.

System and method for displaying contextual supplemental content based on image content

A method and system analyzes data acquired by image systems to more rapidly identify objects of interest in the data. In one embodiment, z-depth data are segmented such that neighboring image pixels having similar z-depths are given a common label. Blobs, or groups of pixels with a same label, may be defined to correspond to different objects. Blobs preferably are modeled as primitives to more rapidly identify objects in the acquired image. In some embodiments, a modified connected component analysis is carried out where image pixels are pre-grouped into regions of different depth values preferably using a depth value histogram. The histogram is divided into regions and image cluster centers are determined. A depth group value image containing blobs is obtained, with each pixel being assigned to one of the depth groups.

Method and system to segment depth images and to detect shapes in three-dimensionally acquired data

A system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images.

System and method for enabling image searching using manual enrichment, classification, and/or segmentation

Growing community of inventors

Mountain View, CA, United States of America

Salih Burak Gokturk