Abstract: The disclosure relates to a method for detection of the horizontal and gravity directions of an image, the method comprising: selecting equidistant sampling points in an image at an interval of the radius of the sampling circle of an attention focus detector; placing the center of the sampling circle of the attention focus detector on each of the sampling points, and using the attention focus detector to acquire attention focus coordinates and the corresponding significant orientation angle, and all the attention focus coordinates and the corresponding significant orientation angles constitute a set ?p; using an orientation perceptron to determine a local orientation angle and a weight at the attention focus according to the gray image information, and generating a local orientation function; obtaining a sum of each of the local orientation functions as an image direction function; obtaining a function MCGCS(?), and further obtaining the horizontal and gravity identification angles.

Abstract: A method, system, and computer-readable storage medium for performing content based transitions between images. Image content within each image of a set of images are analyzed to determine at least one respective characteristic metric for each image. A respective transition score for each pair of at least a subset of the images is determined with respect to each transition effect of a plurality of transition effects based on the at least one respective characteristic metric for each image. Transition effects implementing transitions between successive images for a sequence of the images are determined based on the transition scores. An indication of the determined transition effects is stored. The determined transition effects are useable to present the images in a slideshow or other image sequence presentation.

Abstract: To provide a training data generating device capable of easily generating a large amount of training data used for machine-learning a dictionary of a discriminator for recognizing a crowd state. A person state determination unit 72 determines a person state of a crowd according to a people state control designation as designation information on a person state of people and an individual person state control designation as designation information on a state of an individual person in the people. A crowd state image synthesis unit 73 generates a crowd state image as an image in which a person image corresponding to the person state determined by the person state determination unit 72 is synthesized with an image at a predetermined size acquired by a background extraction unit 71, and specifies a training label for the crowd state image.

Abstract: Various embodiments provide a method for determining color information for an image. For example, a color descriptor for an image can be determined and compared against color descriptors stored for each of a number of sample images, which each represent a color in a color space. Upon comparison, matching scores can be generated for a color match between the image and each respective sample image. In this example, the number of sample images with a matching score above a threshold value can be summed and the image can be assigned to a color associated with a highest frequency of the number of sample images. Accordingly, the assigned color of the image can then be used in a “query by color” search or a browse-by-color capability.

Abstract: A biometric registration and/or verification system and method may comprise: a biometric sensor for capturing biometric data; a data entry device, a computer processor for receiving captured biometric data and entered data; and a database storing records thereof. The identifying biometric data may be related to the entered data in the database record. The biometric data is tested for satisfying a predetermined quality standard before being utilized, e.g., stored in the database record and/or compared.

Abstract: A system and method for obtaining a composite image by combining multiple sub-images are provided. In some embodiments, the method may include retrieving overlapping images corresponding to sub-images including 3D volume data, generating two-dimensional (2D) projection images and pixel maps based on the overlapping images, performing one or more registrations based on the 2D projection images and the pixel maps, calibrating the sub-images based on the results of the registration(s), and fusing the sub-images to produce a composite image. In some embodiments, the method may include setting a plurality of parameters relating to an X-radiation source or a radiation detector based on a preliminary number of exposures and a preliminary exposure region, controlling, based on at least one of the plurality of parameters, a motion of the X-radiation source or a motion of the radiation detector to capture a plurality of sub-images, and combining the plurality of sub-images.

Abstract: A progressive JPEG (joint photographic experts group) decoder is disclosed. The progressive JPEG decoder includes a processing unit that receives a plurality of progressive scans and generates a plurality of modified progressive scans (MPSs). A baseline JPEG decoder, coupled to the processing unit, includes a Huffman decoder, an inverse quantization unit and an inverse transform unit. The Huffman decoder receives a current MPS and generates a set of transform coefficients corresponding to the current MPS. The processing unit adds a set of transform coefficients corresponding to a previous MPS to the set of transform coefficients corresponding to the current MPS, and the processing unit generates quantization indices. The inverse quantization unit estimates inverse quantization values based on the quantization indices. The inverse transform unit estimates inverse transform decoded values based on the estimated inverse quantization values and generates a set of pixels corresponding to the current MPS.

Abstract: A head mountable display (HMD) is provided that has an upward facing camera associated with a wide angle (such as a fisheye) lens arranged to capture images of the environment of the HMD. The HMD also includes an image comparator arranged to derive an indication of yaw of the HMD from images captured by the upward facing camera at different points in time. The image comparator may be configured to perform two or more detection techniques to detect HMD yaw, and to combine the results of the two or more detection techniques. The HMD may also include a tilt detector. Here, the image comparator may be configured to ignore one or more portions of a captured image in dependence upon a current tilt of the HMD as detected by the tilt detector.

Abstract: Determining a label from an image is disclosed, including: obtaining an image; determining a first portion of the image associated with a special mark; determining a second portion of the image associated with a label based at least in part on the first portion of the image associated with the special mark; and applying character recognition to the second portion of the image associated with the label to determine a value associated with the label.

Abstract: Approaches are described for managing the processing of image or video data captured by a portable computing device. The device provides a set of images to a remote server executing “in the cloud”. The set of images can include a reference image and at least one other image captured subsequent or prior to the reference. Upon receiving the set of images at the remote server operating, the remote server can process the images to determine a similarity between the reference image and each of the other images. Thereafter, each image having a similarity value above a similarity value threshold can be aligned with the reference image, and the pixel values for corresponding locations in each of the images can be combined to create a processed image. The processed images can be provided to the computing device from the remote server, where the user can decide to accept or discard the image.

Abstract: A method and system for registering data by first acquiring the data from a scene by a sensor at different viewpoints, and extracting, from the data, three-dimensional (3D) points and 3D lines, and descriptors associated with the 3D points and the 3D lines. A first set of primitives represented in a first coordinate system of the sensor is selected, wherein the first set of primitives includes at least three 3D points. A second set of primitives represented in a second coordinate system is selected, wherein the second set of primitives includes any combination of 3D points and 3D lines to obtain at least three primitives. Then, using the first set of primitives and the second set of primitives, the 3D points are registered with each other, and the 3D points with the 3D lines to obtain registered primitives, wherein the registered primitives are used in a simultaneous localization and mapping (SLAM) system.

Abstract: The invention relates to a camera modeling and calibration system and method using a new set of variables to compensate for imperfections in line of sight axis squareness with camera plane and which increases accuracy in measuring distortion introduced by image curvature caused by geometric and chromatic lens distortion and wherein the camera image plane is represented from a full 3D perspective projection.

Abstract: Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

Abstract: Image processing apparatus, an image processing system, and an image processing method. The image processing apparatus includes: an input image processing unit for outputting global information of sample data obtained by sampling first image data and dividing and outputting the first image data into an N (where N is a positive integer equal to or greater than 2) number of split image data; and a frame rate conversion unit including an N number of frame rate converters, wherein each of the N number of frame rate converters converts a frame rate of corresponding split image data among the N number of split image data synchronized with the global information and outputs the frame rate converted split image data as split display data, wherein the split display data is to be displayed on one of an N number of display regions.

Abstract: Provided is a method of authenticating a user by correlating speech and corresponding lip shape. An audiovisual of a user requesting authentication is captured. The audiovisual is processed to generate a speech vector quantization sequence and a corresponding lip vector quantization sequence of the user. A likelihood of the speech vector quantization sequence and the corresponding lip vector quantization sequence with probability distributions of speech vector quantization code words corresponding to different lip shape vector quantization code words of the user requesting authentication weighed by probabilities of speech and lip vector quantization indices of the user requesting authentication is evaluated. If upon evaluation, a likelihood of the user requesting authentication being an authentic user is more than a predefined threshold, the user is authenticated.

Abstract: A machine-implemented method of processing an input image includes receiving user input that manually identifies a location in the input image that corresponds to a potential redeye artifact. A set of detected redeye artifacts in the input image is received. One of the detected redeye artifacts that is closest to the manually identified location is identified. The identified detected redeye artifact is stored in a list of redeye artifacts that are identified with manual assistance if the identified detected redeye artifact is within a threshold distance from the manually identified location.

Abstract: Field of view overlap among multiple cameras are automatically determined as a function of the temporal overlap of object tracks determined within their fields-of-view. Object tracks with the highest similarity value are assigned into pairs, and portions of the assigned object track pairs having a temporally overlapping period of time are determined. Scene entry points are determined from object locations on the tracks at a beginning of the temporally overlapping period of time, and scene exit points from object locations at an ending of the temporally overlapping period of time. Boundary lines for the overlapping fields-of-view portions within the corresponding camera fields-of-view are defined as a function of the determined entry and exit points in their respective fields-of-view.

Abstract: The purpose of the present invention is to provide image processing technology that can reduce shimmering in the entirety of images that include both still regions and moving bodies. This image processing device finds gradient distribution for each of a frame to be corrected and a frame for correction, changes, according to the degree of similarity in the gradient distribution, the proportion in which the frame to be corrected and the frame for correction are used, and then corrects the frame to be corrected using the frame for correction (see FIG. 1).

Abstract: Correction of an initial three-dimensional image of a deformed object comprises the provision of a model of the undeformed object comprising first zones, the determination in the initial three-dimensional image of second zones corresponding to the first zones, the determination of a first geometric transformation which maps the second zones to the first zones and the determination of a three-dimensional image corrected on the basis of the first geometric transformation and of the initial three-dimensional image.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.