General Electric Company

Utc Fire & Security Americas Corporation, Inc.

Lockheed Martin Corporation

Nbcuniversal Media, LLC

The Penn State Research Foundation

Utc Fire and Security Corporation

Xiaoming Liu

Peter Henry Tu

Frederick Wilson Wheeler

Jilin Tu

Jens Rittscher

Ting Yu

Ya Xue

Nils Oliver Krahnstoever

Yan Tong

Weizhong Yan

Ser Nam Lim

Thomas Baby Sebastian

Bruce Clark Busbey

Clara Rivero Baleine

Robert August Kaucic

Xu Fu

Amir Riahi

Sri Kaushik Pavani

Rong Li

Theresa S Mayer

Mahesh Kumar Asati

Manoharan Venugopal

GianFranco Doretto

Mithun Das Gupta

Megha Navalgund

Kirk Lars Bruns

Joseph Manuel Portaz

Rajashekar Venkatachalam

Kajoli Banerjee Krishnan

Navneeth Subramanian

Christina Hartsell Drake

Pavan Kumar Veerabhadra Annangi

Christopher John Olivier

Jyotirmoy Banerjee

Ambalangoda Gurunnanselage Amitha Perera

Prakash Mandayam Comare

Amitha Perera

Piali Das

A mask array apparatus includes a monolithic structure that includes a substrate layer transmissive for at least a portion of an infrared wavelength band and an array of individually addressed pixel structures. Each pixel structure is in stacked relation above or below the substrate layer, and includes at least one micro-plate heating element layer, circuitry, and at least one phase change material (PCM) element. The heating element layer is transmissive for the wavelength band, and has switchable on and off states configured to produce temperature changes. The circuitry is configured to individually address the heating element layer, separately from heating element layers in other pixel structures, to switch the heating element layer between the on and off states. The PCM is in stacked relation above or below the heating element layer and configured to change transmissive states in the wavelength band in response to the temperature changes.

Individually addressable infrared mask array

The present subject matter is directed to a wind turbine blade alignment method. A sensor provided on the blade at a blade station with a known twist angle is used to measure an installation angle of the blade station. The installation angle is adjusted if the installation angle measured by the sensor is not equal to the known twist angle. A wind turbine with such a sensor for measuring an installation angle used for blade alignment is also provided.

Wind turbine and blade alignment method thereof

A novel technique for performing video matting, which is built upon a proposed image matting algorithm that is fully automatic is disclosed. The disclosed methods utilize a PCA-based shape model as a prior for guiding the matting process, so that manual interactions required by most existing image matting methods are unnecessary. By applying the image matting algorithm to these foreground windows, on a per frame basis, a fully automated video matting process is attainable. The process of aligning the shape model with the object is simultaneously optimized based on a quadratic cost function.

Automatic surveillance video matting using a shape prior

A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.

Image congealing via efficient feature selection

A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.

System and method for automatic landmark labeling with minimal supervision

A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.

System and method for identifying an optimal image frame for ultrasound imaging

Systems and methods are disclosed for emotive healthcare software usability. A method to improve software usability is described, the method comprising presenting a software application to a user. The method also including logging activities of the user with respect to the software application, wherein the logging includes recording the user using the software application, and wherein the activities include user action with respect to the software application and mouse location on a user interface displaying the software application. The method also including interpreting user emotion from the recording, and tracking an emotive index based on a combination of user emotion and user action with respect to the software application and mouse location. The method also including providing feedback based on the emotive index.

Systems and methods for emotive software usability

Image concealing via efficient feature selection

A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.

Optimal gradient pursuit for image alignment

A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.

Assessing biometric sample quality using wavelets and a boosted classifier

A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task.

Optimal subspaces for face recognition

Growing community of inventors

Schenectady, NY, United States of America

Xiaoming Liu