Abstract: A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. In an aspect, the system and method employ a deep database of images and/or prior image analysis results so as to improve the outcome from the present automated landmark detection scheme.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The present invention provides a computer implemented method, a system, and a computer program product for verifying a writing of a user. In an exemplary embodiment, the present invention includes in response to receiving a writing on a pressure sensing touchpad logically coupled a computer system, recording a position and a pressure of one or more points of the writing via a pressure sensing touchscreen, executing a set of logical operations normalizing the writing, comparing the normalized writing to one or more stored writing parameters, executing a set of logical operations determining the normalized writing is within a tolerance of writing parameter deviation limits, thereby verifying the writing, and in response to determining the writing is within the tolerance of writing parameter deviation limits, storing, by the computer system, a value indicating that the writing is valid.

Abstract: Provided is an apparatus for reconstructing an image using a microwave. The apparatus includes: a microwave measurement unit configured to obtain a microwave measurement value for a microwave measurement object; and an image reconstruction unit configured to perform an image reconstruction by using the microwave measurement value and shape boundary information of the object.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: A system mounted within eyewear or headwear to unobtrusively produce and track reference locations on the surface of one or both eyes of an observer is provided to improve the accuracy of gaze tracking. The system utilizes multiple illumination sources and/or multiple cameras to generate and observe glints from multiple directions. The use of multiple illumination sources and cameras can compensate for the complex, three-dimensional geometry of the head and the significant anatomical variations of the head and eye region that occurs among individuals. The system continuously tracks the initial placement and any slippage of eyewear or headwear. In addition, the use of multiple illumination sources and cameras can maintain high-precision, dynamic eye tracking as an eye moves through its full physiological range.

Abstract: Computerized information acquisition and processing apparatus for use in endoscopic analysis. In one embodiment, the apparatus includes a swallowable apparatus having a digital processor apparatus and video apparatus with image capture and digitization capability, and a wireless interface for accomplishing various purposes, including e.g., transferring the digital image data to a second computerized apparatus having various algorithmic analysis functions operative thereon, including for example pixel intensity analysis, shape recognition, and preview functions, so as to enhance efficiency of the review process. In another embodiment, portions of the algorithmic analysis (and other functions) are performed by the digital processor apparatus on the swallowable apparatus, including selective deletion or omission of data prior to transmission.

Abstract: An object detection method and apparatus are provided. The object detection method may include adaptively generating a pyramid image corresponding to a current frame based on information associated with a target object detected from a previous frame.

Abstract: A method of determining a camera movement expressed in terms of an absolute transformation of a camera state from a reference state, including receiving a stream of video images captured from a camera; producing a stream of odometry measurements from the video images determining the relative transform of the camera state between consecutive images or consecutive sets of images; producing a stream of loop closure measurements from the video images by determining the relative transform of the camera state between non-consecutive images or non-consecutive sets of images; and estimating the absolute transform of the camera state from a posterior distribution of the relative transformations over the odometry measurements and the loop closure measurements, wherein the posterior distribution is approximated by a factorized distribution which assumes that the relative transformations are mutually independent.

Abstract: A radiography apparatus includes a radiation source, a radiation detector, and processing circuitry. The processing circuitry is configured to obtain an X-ray image of an object, obtain a focal spot size of a radiation source used to generate the obtained X-ray image, and estimate a magnification of the obtained X-ray image. The processing circuitry is also configured to obtain, using a look-up table and the obtained focal spot size, a deconvolution kernel. The processing circuitry is also configured to generate a corrected X-ray image by performing a deconvolution operation on the obtained X-ray image using the obtained deconvolution kernel and the estimated magnification.

Abstract: The present disclosure discloses an inspection method and device. The method comprises steps of acquiring a perspective image of an inspected object; processing the perspective image to obtain a region of interest; and automatically detecting the region of interest using a cigarette model, to determine whether the region of interest of the perspective image belongs to a cigarette. In the present disclosure, cigarette detection is implemented on a scanned image of goods, particularly a container, which can avoid the problem of detection vulnerability and poor effect of manual image judgment for the conventional manner, and is of significance in fighting against cigarette smuggling.

Abstract: The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.

Abstract: A method for customizing an interactive control boundary includes positioning a virtual implant model relative to a virtual bone model based on a user input, and extracting reference feature information associated with the virtual implant model, wherein the reference feature information describes one of a point, a line, a plane, and a surface associated with the virtual implant model. The method further includes mapping the extracted reference feature information to the virtual model of the bone, and receiving information indicative of a positional landmark associated with the bone, then estimating an intersection between the positional landmark and the mapped reference feature and generating a virtual boundary based, at least in part, on the estimated intersection between the positional landmark and the mapped reference feature.

Abstract: A method for determining the velocity of a fluid in a volume to be imaged of an examination object with the aid of an imaging method is described. Attenuation values are acquired based upon image data of the volume to be imaged, depending on location and time. A temporally and spatially delineated region is specified based upon the acquired attenuation data, in which the acquired attenuation data behaves approximately linearly. Subsequently, temporal and/or spatial gradients and/or a combination of a temporal and a spatial gradient are determined based upon the attenuation values associated with the temporally and spatially delineated region. Finally, the velocity of the fluid is calculated based upon the determined temporal and/or spatial gradients or from the combination of a temporal and a spatial gradient and from the temporal gradient. A fluid velocity determining device, non-transitory computer readable medium and a computed tomography system are also described.

Abstract: A digital watermarking system and method are disclosed. In one respect, the disclosed digital watermarking includes generating an extracted signal by applying a watermark extractor to an original image, generating a mixed signal by mixing the first signal with a periodic watermark signal using a local weighting factor for the periodic watermark signal that attenuates a strength of the watermark signal in proportion to a pixel luminance level, and replacing the extracted signal in the original image with the mixed signal to generate a marked image, wherein the watermark signal is extractable from the marked image using the watermark extractor.

Abstract: A method of capturing biometric data is provided that includes activating a security application in a device. The security application is activated by an operator of the device and is configured to cause the device to display an outline image. Moreover, the method includes displaying the outline image in a stationary position on a display of the device, positioning desired biometric data proximate the device such that the desired biometric data appears as a biometric image on the device display, and monitoring the outline and biometric images shown on the device display. Furthermore, the method includes positioning the device and the desired biometric data to better align the outline and biometric images when the outline and biometric images do not align and capturing the desired biometric data from an individual after approximately aligning the outline image with the biometric image.

Abstract: Systems and methods for identifying an object and presenting additional information about the identified object are provided. The techniques of the present invention can allow the user to specify modes to help with identifying objects. Furthermore, the additional information can be provided with different levels of detail depending on user selection. Apparatus for presenting a user with a log of the identified objects is also provided. The user can customize the log by, for example, creating a multi-media album.

Abstract: Systems and methods for segmenting a nerve in a three-dimensional image volume obtained with a magnetic resonance imaging (“MRI”) system are provided. A three-dimensional image volume that depicts a nerve and surrounding anatomical structures is provided and from that image volume the nerve is segmented. In general, a curved multiplanar reformatting (“CMPR”) process is utilized to mark, segment, and then display the nerve in three dimensions.

Abstract: Disclosed herein are methods and systems for generating a fingerprint for verification of a reference object, such as a layer or ply during a composite laminate layup procedure. An exemplary method includes generating a plurality of images of the reference object from a plurality of angles, removing at least one lighting effect from at least one reference image to generate at least one processed image, generating a reference fingerprint for the reference object based on the at least one processed image, generating at least one candidate image of a candidate object, generating a candidate fingerprint for the candidate object based on the at least one candidate image, comparing the candidate fingerprint and the reference fingerprint to determine whether a correlation exists between the candidate fingerprint and the reference fingerprint, and generating an alert based on the comparison of the candidate fingerprint and the reference fingerprint.

Abstract: A calibration method for an MPI (=magnetic particle imaging) apparatus for conducting an MPI experiment, wherein the calibration method comprises m calibration MPI measurements with a calibration test piece and uses these measurements to create an image reconstruction matrix with which the signal contributions of N voxels within an investigation volume of the MPI apparatus are determined, wherein compressed sensing steps are applied in the calibration method with a transformation matrix that sparsifies the image construction matrix, and wherein only a number M<N of calibration MPI measurements for M voxels are carried out, from which the image reconstruction matrix is created and stored. This specifies an efficient method for determination of the system matrix for the MPI imaging method, which does not require much time to determine an MPI system function and nevertheless achieves a high degree of precision.