At+t Corp.

At&t Bell Laboratories

Element Inc.

Lucent Technologies Inc.

At&t Intellectual Property I, L.p.

Ncr Corporation

New York University

Nec Laboratories America, Inc.

Yann Andre LeCun

Eric Cosatto

Hans Peter Graf

Joern Ostermann

Mehmet Reha Civanlar

John Stewart Denker

Yang Wang

Adam Perold

Thomas M Isaacson

Dushyant Goyal

Lawrence David Jackel

Leon Bottou

Richard E Howard

Barbara Buda

Fengjun Lv

Sagar Waghmare

Quen-Zong Wu

Matthew Lynn Miller

Yoshua Bengio

Patrice Y Simard

Margarita Osadchy

Timothy J Thompson

Ofer Matan

Isabelle Guyon

William D Satterfield

Bernard Victorri

Clément Farabet

Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.

Methods, systems, and media for detecting spoofing in mobile authentication

The present invention relates generally to the use of biometric technology for authentication and identification, and more particularly to non-contact based solutions for authenticating and identifying users, via computers, such as mobile devices, to selectively permit or deny access to various resources. In the present invention authentication and/or identification is performed using an image or a set of images of an individual's palm through a process involving the following key steps: (1) detecting the palm area using local classifiers; (2) extracting features from the region(s) of interest; and (3) computing the matching score against user models stored in a database, which can be augmented dynamically through a learning process.

System and method for biometric authentication in connection with camera-equipped devices

System and method for biometric authentication in connection with camera equipped devices

A processor includes a plurality of processing tiles, wherein each tile is configured at runtime to perforin a configurable operation. A first subset of tiles are configured to perform in a pipeline a first plurality of configurable operations in parallel. A second subset of tiles are configured to perform a second plurality of configurable operations in parallel with the first plurality of configurable operations. The process also includes a multi-port memory access module operably connected to the plurality of tiles via a data bus configured to control access to a memory and to provide data to two or more processing tiles simultaneously. The processor also includes a controller operably connected to the plurality of tiles and the multi-port memory access module via a runtime bus. The processor configures the tiles and the multi-port memory access module to execute a computation.

Runtime reconfigurable dataflow processor with multi-port memory access module

A system and method of providing sender-customization of multi-media messages through the use of emoticons is disclosed. The sender inserts the emoticons into a text message. As an animated face audibly delivers the text, emoticons associated with the message are started a predetermined period of time or number of words prior to the position of the emoticon in the message text and completed a predetermined length of time or number of words following the location of the emoticon. The sender may insert emoticons through the use of emoticon buttons that are icons available for choosing. Upon sender selections of an emoticon, an icon representing the emoticon is inserted into the text at the position of the cursor. Once an emoticon is chosen, the sender may also choose the amplitude for the emoticon and increased or decreased amplitude will be displayed in the icon inserted into the message text.

System and method for sending multi-media messages using emoticons

A method for human face detection that detects faces independently of their particular poses and simultaneously estimates those poses. Our method exhibits an immunity to variations in skin color, eyeglasses, facial hair, lighting, scale and facial expressions, and others. In operation, we train a convolutional neural network to map face images to points on a face manifold, and non-face images to points far away from that manifold, wherein that manifold is parameterized by facial pose. Conceptually, we view a pose parameter as a latent variable, which may be inferred through an energy-minimization process. To train systems based upon our inventive method, we derive a new type of discriminative loss function that is tailored to such detection tasks. Our method enables a multi-view detector that can detect faces in a variety of poses, for example, looking left or right (yaw axis), up or down (pitch axis), or tilting left or right (roll axis). Systems employing our method are highly-reliable, run at near real time (5 frames per second on conventional hardware), and is robust against variations in yaw (&#xb1;90&#xb0;), roll(&#xb1;45&#xb0;), and pitch(&#xb1;60&#xb0;).

Synergistic face detection and pose estimation with energy-based models

A method is provided for customizing a multi-media message created by a sender for a recipient, in which the multi-media message includes an animated entity audibly presenting speech converted from text by the sender. At least one image is received from the sender. Each of the at least one image is associated with a tag. The sender is presented with options to insert the tag associated with one of the at least one image into the sender text.

Method for sending multi-media messages using customizable background images

A system and method of providing sender customization of multi-media messages through the use of inserted images or video. The images or video may be sender-created or predefined and available to the sender via a web server. The method relates to customizing a multi-media message created by a sender for a recipient, the multi-media message having an animated entity audibly presenting speech converted from text created by the sender. The method comprises receiving at least one image from the sender, associating each at least one image with a tag, presenting the sender with options to insert the tag associated with one of the at least one image into the sender text, and after the sender inserts the tag associated with one of the at least one images into the sender text, delivering the multi-media message with the at least one image presented as background to the animated entity according to a position of the tag associated with the at least one image in the sender text. In another embodiment of the invention, a template is provided to the sender to create multi-media messages using predefined static images or video clips. The method comprises providing the sender with a group of customizable multi-media message templates, each template of the groups of templates including predefined parameters comprising a predefined text message, a predefined animated entity, a predefined background, predefined background music, and a predefined set of emoticons within the text of the message. The sender is further provided with options to accessorize the animated entity with various additional features such as glasses and the like for more creative presentation of the multi-media message.

Method for sending multi-media messages using emoticons

A machine learning paradigm called Graph Transformer Networks extends the applicability of gradient-based learning algorithms to systems composed of modules that take graphs as inputs and produce graphs as output. Training is performed by computing gradients of a global objective function with respect to all the parameters in the system using a kind of back-propagation procedure. A complete check reading system based on these concept is described. The system uses convolutional neural network character recognizers, combined with global training techniques to provides record accuracy on business and personal checks.

Module for constructing trainable modular network in which each module

A method and apparatus extracts a foreground image and a background image from a color document image. The color document image is divided into a plurality of multiscaled grids. Each of the grids includes a plurality of blocks and the resolution of the plurality of blocks increases for each successive grid. The background color and the foreground color of each block of the largest grid is first determined. Then the background color and the foreground color of each block of the smaller grids are determined iteratively, using biasing information from each block's corresponding block, until the background and foreground colors of all of the blocks of all of the grids have been determined. Finally, the foreground and background images are formed from the determined background color and foreground color of each block of the smallest grid.

Method and apparatus for extracting a foreground image and a background

Groups of symbols to be recognized are standardized by fitting four flexible curves to the group of symbols. The curves are fitted by minimizing a cost or energy function that associates a cost with the curvature of the curves, the slant of the curves, the displacement in spacing between the curves and the distance of maxima and minima points from the curves. After the curves are fitted to the group of symbols, the symbols are standardized by transforming coordinates systems so that the fitted curves are placed in a predetermined configuration.

Method and apparatus for standardization of inputs to word recognition

Data samples describing a plurality of micro-segments that compose a symbol to be recognized are received from a device such as an electronic pad. A preprocessor maps the micro-segments into cells of an array that has several feature dimensions. The preprocessor assigns values to the cells based on the length of a micro-segment associated with the cell, and how well the features of the associated micro-segment correspond to the feature label of the cell. The cell values are used as inputs to at least one of a plurality of neural networks, where each neural network is trained to identify symbols from a different group of symbols. A sorter examines the symbol to determine which neural network should be used to recognize the symbol. An output produced by the sorter controls a switching means that communicates the cell values to the proper neural network.

Method and apparatus for symbol recognition using multidimensional

Data samples describing a plurality of micro-segments that compose a symbol to be recognized are received from a device such as an electronic pad. A preprocessor maps the micro-segments into cells of an array that has several feature dimensions. The preprocessor assigns values to the cells based on the length of a micro-segment associated with the cell, and how well the features of the associated micro-segment correspond to the feature label of the cell. The cell values are used as inputs to a neural network that identifies the symbol. In one embodiment, recognizing symbols from large groups of symbols is facilitated by using a plurality of neural networks. Each neural network is trained to recognize symbols from a different subgroup of symbols, and each neural network can determine whether the symbol belongs to its subgroup.

Growing community of inventors

Lincroft, NJ, United States of America

Yann Andre LeCun