Abstract: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations employ an identity data set having a plurality of images representing different intrapersonal settings. A predictive model may associate one or more input images with one or more images in the identity data set. Some implementations may use an appearance-prediction approach to compare two images by predicting an appearance of at least one of the images under an intrapersonal setting of the other image. Further, some implementations may utilize a likelihood-prediction approach for comparing images that generates a classifier for an input image based on an association of an input image with the identity data set.

Abstract: Face hallucination using a bi-channel deep convolutional neural network (BCNN), which can adaptively fuse two channels of information. In one example, the BCNN is implemented to extract high level features from an input image. The extracted high level features are combined with low level details in the input image to produce the higher resolution image. Preferably, a proper coefficient is obtained to adaptively combine the high level features and the low level details.

Abstract: A deep learning framework jointly optimizes the compactness and discriminative ability of face representations. The compact representation can be as compact as 32 bits and still produce highly discriminative performance. In another aspect, based on the extreme compactness, traditional face analysis tasks (e.g. gender analysis) can be effectively solved by a Look-Up-Table approach given a large-scale face data set.

Abstract: The present invention overcomes the limitations of the prior art by performing facial landmark localization in a coarse-to-fine manner with a cascade of neural network levels, and enforcing geometric constraints for each of the neural network levels. In one approach, the neural network levels may be implemented with deep convolutional neural network. One aspect concerns a system for localizing landmarks on face images. The system includes an input for receiving a face image, and an output for presenting landmarks identified by the system. Neural network levels are coupled in a cascade from the input to the output for the system. Each neural network level produces an estimate of landmarks. The estimate of landmarks is more refined than an estimate of landmark of a previous neural network level.

Abstract: Face representation is a crucial step of face recognition systems. An optimal face representation should be discriminative, robust, compact, and very easy to implement. While numerous hand-crafted and learning-based representations have been proposed, considerable room for improvement is still present. A very easy-to-implement deep learning framework for face representation is presented. The framework bases on pyramid convolutional neural network (CNN). The pyramid CNN adopts a greedy-filter-and-down-sample operation, which enables the training procedure to be very fast and computation efficient. In addition, the structure of Pyramid CNN can naturally incorporate feature sharing across multi-scale face representations, increasing the discriminative ability of resulting representation.

Abstract: Methods, systems, and media for detecting gaze locking are provided. In some embodiments, methods for gaze locking are provided, the methods comprising: receiving an input image including a face; locating a pair of eyes in the face of the input image; generating a coordinate frame based on the pair of eyes; identifying an eye region in the coordinate frame; generating, using a hardware processor, a feature vector based on values of pixels in the eye region; and determining whether the face is gaze locking based on the feature vector.

Abstract: The invention relates to an aqueous cyan inkjet ink composition for use in ink jet printers comprising an aqueous carrier, a self dispersed cyan pigment, a polymeric additive, a surfactant, and a specific cosolvent mixture comprising a C2-C8 terminal alkanediol, a cyclic amide compound and its derivative, a polyol/polyalkylene oxide condensate, and a trihydric alcohol. Preferably, the self dispersed cyan pigment is surface modified with bisphosphonate group. The cyan inkjet ink demonstrates excellent stability, superior chroma, good printhead maintenance characteristics and high heater reliability in permanent and semi permanent printheads.

Abstract: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations employ an identity data set having a plurality of images representing different intrapersonal settings. A predictive model may associate one or more input images with one or more images in the identity data set. Some implementations may use an appearance-prediction approach to compare two images by predicting an appearance of at least one of the images under an intrapersonal setting of the other image. Further, some implementations may utilize a likelihood-prediction approach for comparing images that generates a classifier for an input image based on an association of an input image with the identity data set.

Abstract: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations transform at least a portion of an image from a first intrapersonal condition to a second intrapersonal condition to enable more accurate comparison with another image. Some implementations may determine a pose category of an input image and may modify at least a portion of the input image to a different pose category of another image for comparing the input image with the other image. Further, some implementations provide for compression of data representing at least a portion of the input image to decrease the dimensionality of the data.

Abstract: Described herein are techniques for obtaining compact face descriptors and using pose-specific comparisons to deal with different pose combinations for image comparison.

Abstract: The present invention provides a pigment ink formulation containing a wax emulsion is disclosed. The wax emulsion comprises a specific wax and surfactant combination. In particular, the wax comprises a linear polyethylene wax and the surfactant is an alkyl ether carboxylate. The wax emulsion can be made by any process for preparing emulsions used by those skilled in the art such as typical homogenization methods. Applicants have discovered that such a wax emulsion can not only improve the scratch resistance of pigmented ink, but also improve other handling problems such as scuff and smear.

Abstract: The present invention provides a pigment ink formulation containing a wax emulsion is disclosed. The wax emulsion comprises a specific wax and surfactant combination. In particular, the wax comprises a linear polyethylene wax and the surfactant is an alkyl ether carboxylate. The wax emulsion can be made by any process for preparing emulsions used by those skilled in the art such as typical homogenization methods. Applicants have discovered that such a wax emulsion can not only improve the scratch resistance of pigmented ink, but also improve other handling problems such as scuff and smear.