Adeia Semiconductor Bonding Technologies Inc.

Fotonation Limited

Fotonation Vision Limited

Tessera Technologies Ireland Limited

National University of Ireland

Fotonation Ireland Limited

2p & M Holdings, LLC

Digitaloptics Corporation Mems

National University of Ireland, Galway

Fotonation Holdings, LLC

Potomedia Technologies LLC

Peter Corcoran

Petronel Bigioi

Eran Steinberg

Yury Prilutsky

Alexandru Drimbarean

Alexei Pososin

Adrian Zamfir

Florin Nanu

Mihai Ciuc

Stefan Petrescu

Adrian Dorin Capata

Michael J DeLuca

Mihnea Gangea

Corneliu Florea

Piotr Stec

Vasile Buzuloiu

Marta Zamfir

Constantin Vertan

Danutz Ursu

Felix Albu

Gabriel Costache

Stefanita Ciurel

Christopher Dainty

Igor Barcovschi

Valentin Mocanu

Cosmin Nicolae Stan

Ioana Bacivarov

Constantin Vertran

Corneliu Zaharia

Istvan Andorko

Ilariu Raducan

Vlad Poenaru

Mircea Ionita

Leo Blonk

Alexander Goncharov

George Susanu

Razvan G Condorovici

Ruxandra Vranceanu

Larry Murray

Ferenc Papai

Andrei Vasiliu

Mihnea Gângea

Mihai Ianculescu

Horia Grecu

Alexandru Malaescu

Emilian David

Szabolcs Fulop

Takanori Miki

Bogdan Sultana

Radu Nicolau

Vlad Ionut Ursachi

Hossein Javidnia

Rhys Mulryan

Petronel Biglol

Mihai Cuic

Razvan Beuran

Eric L Zarakov

Joe Lemley

Shabab Bazrafkan

Constantin Verlan

Piotr Støc

Petronel Bigiol

Leendert Blonk

Alex Cucos

Adrian Zamflr

Petronel Blgiol

Systems and methods of detecting an unauthorized data insertion into a stream of data segments extending between electronic modules or between electronic components within a module, wherein a Secret embedded into the data stream is compared to a Replica Secret upon receipt to confirm data transmission integrity.

Systems and methods for detecting data insertions in biometric authentication systems utilizing a secret

A method of generating a digital video image uses a wide-angle field of view (WFOV) lens positioned closely in front of an image sensor array so that the image field of the lens is so curved at the sensor array that different regions of the image field are substantially in focus on the sensor array for different positions of the lens. The method comprises selecting a desired region of interest in the image field of the lens, and adjusting the lens/array distance to bring the region of interest into focus on the sensor array. The in-focus region of interest is stored and at least partially corrected for field-of-view distortion due to the WFOV lens. The corrected image is displayed, locally and/or remotely. These steps are cyclically repeated to provide the video image.

Method of generating a digital video image using a wide-angle field of view lens

Systems and methods for training a conditional generator model are described. Methods receive a sample, and determine a discriminator loss for the received sample. The discriminator loss is based on an ability to determine whether the sample is generated by the conditional generator model or is a ground truth sample. The method determines a secondary loss for the generated sample and updates the conditional generator model based on an aggregate of the discriminator loss and the secondary loss.

Systems and methods for conditional generative models

A method of responding to a criterion-based request for information collected from users meeting the criterion while complying with a user-requested privacy requirement. In one embodiment a request is received for data comprising facial or audio expressions for users who meet the criterion. A program monitors activities indicative of user attention or user reaction based on face tracking, face detection, face feature detection, eye gaze determination, eye tracking, audio expression determination, or determination of an emotional state. When a user requests a high level of privacy, the timestream data collected for the user is aggregated with timestream data collected for other users into a statistical dataset by processing the timestreams to ensure the high level of privacy in the statistical dataset which is provided to a content provider without providing data collected for the user who has requested the high level of privacy.

Anonymizing facial expression data with a smart-cam

A multi-camera vehicle vision system and method. In one embodiment a map is generated about a moving vehicle. Frames of image data are provided with a series of cameras extending along a surface of the vehicle. The image data frames are processed to identify an object of interest. An object of interest is classified among a set of object types and location of an identified object of interest is determined. Object type and location information is provided to a control unit spaced apart from the cameras via a data link. Road map data is generated to illustrate changes in position of the moving vehicle along a roadway based on data other than the image data provided by the cameras. A display of the road map data is generated with the object type and location information overlaid on the road map data to indicate object location relative to the vehicle.

Multi-camera vehicle vision system and method

A method for determining an absolute depth map to monitor the location and pose of a head () being imaged by a camera comprises: acquiring () an image from the camera () including a head with a facial region; determining () at least one distance from the camera () to a facial feature of the facial region using a distance measuring sub-system (); determining () a relative depth map of facial features within the facial region; and combining () the relative depth map with the at least one distance to form an absolute depth map for the facial region.

Method and system to determine the location and/or orientation of a head

A multi-camera vision system and method of monitoring. In one embodiment imaging systems provide object classifications with cameras positioned to receive image data from a field of view to classify an object among multiple classifications. A control unit receives classification or position information of objects and (ii) displays an image corresponding to a classified object relative to the position of the structure. An embodiment of a related method monitors positions of an imaged object about a boundary by continually capturing at least first and second series of image frames, each series comprising different fields of view of a scene about the boundary, with some of the image frames in the first series covering a wide angle field of view and some of the image frames in the second series covering no more than a narrow angle field of view.

Multi-camera vision system and method of monitoring

A technique of generating a stereoscopic panorama image includes panning a portable camera device, and acquiring multiple image frames. Multiple at least partially overlapping image frames are acquired of portions of the scene. The method involves registering the image frames, including determining displacements of the imaging device between acquisitions of image frames. Multiple panorama images are generated including joining image frames of the scene according to spatial relationships and determining stereoscopic counterpart relationships between the multiple panorama images. The multiple panorama images are processed based on the stereoscopic counterpart relationships to form a stereoscopic panorama image.

Stereoscopic (3D) panorama creation on handheld device

Systems and methods of detecting an unauthorized data insertion into a stream of data segments extending between electronic modules or between electronic components within a module, wherein a pseudo data segment included in the data stream upon transmission is detected upon receipt to confirm data transmission integrity.

Systems and methods for detecting data insertions in biometric authentication systems using pseudo data segments

A method operable by a computing device for configuring access for a limited user interface (UI) device to a network service via a local network access point is disclosed. The method comprises the steps of: obtaining from the limited UI device a device identifier via a first out-of-band channel. The device identifier is provided to the network service via a secure network link. A zero knowledge proof (ZKP) challenge is received from the network service. Configuration information is provided to the limited-UI device via a second out-of-band channel, the configuration information including information sufficient to enable the limited-UI device to connect to the local network access point. The ZKP challenge is provided to the limited-UI device via the second out-of-band channel. A secure channel key is received from the network service indicating a successful response from the limited-UI device to the ZKP challenge; and provided to the limited-UI device enabling the limited-UI device to access the network service.

Method for configuring access for a limited user interface (UI) device

A dynamically reconfigurable heterogeneous systolic array is configured to process a first image frame, and to generate image processing primitives from the image frame, and to store the primitives and the corresponding image frame in a memory store. A characteristic of the image frame is determined. Based on the characteristic, the array is reconfigured to process a following image frame.

Real-time video frame pre-processing hardware

An image processing method for iris recognition of a predetermined subject, comprises acquiring through an image sensor, a probe image illuminated by an infra-red (IR) illumination source, wherein the probe image comprises one or more eye regions and is overexposed until skin portions of the image are saturated. One or more iris regions are identified within the one or more eye regions of said probe image; and the identified iris regions are analysed to detect whether they belong to the predetermined subject.

Image processing method and system for iris recognition

A method for providing depth map information based on image data descriptive of a scene. In one embodiment, after generating an initial sequence of disparity map data, performing a smoothing operation or an interpolation to remove artifact introduced in the disparity map data as a result of segmenting the image data into superpixels.

Systems and methods for providing depth map information

A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.

Identifying facial expressions in acquired digital images

Growing community of inventors

Claregalway, Ireland

Peter Corcoran