Abstract: A method of determining a facial expression type may include extracting feature points representing facial characteristics from a facial image of a user; grouping the extracted feature points into a plurality of regions; and determining a facial expression type for each of a plurality of groups using feature points and a facial expression type function corresponding to each of the groups.

Abstract: A potential trouble can be in advance suppressed by analyzing a defect of a wafer. A defect analyzing apparatus of analyzing a defect of a substrate includes an imaging unit configured to image target substrates; a defect feature value extracting unit configured to extract a defect feature value in a surface of the substrate based on the substrate image; a defect feature value accumulating unit configured to calculate an accumulated defect feature value with respect to the substrates to create an accumulation data AH; a defect determination unit configured to determine whether the accumulated defect feature value exceeds a preset critical value; and an output display unit configured to output a determination result from the defect determination unit.

Abstract: A system for segregating handwritten information from typographic information on a document may include a memory, an interface, and a processor. The memory stores an electronic document image of a document where the electronic document image includes pixels and each pixel has a characteristic. The processor may receive, via the interface, the electronic document image and may identify first, second and third most frequently occurring characteristics of the pixels of the electronic document image. The pixels having the first most frequently occurring characteristic represent a background of the document. The processor may determine the typographic information of the document as represented by pixels having the second most frequently occurring characteristic. The processor may determine the handwritten information of the document as represented by pixels having the third most frequently occurring characteristic.

Abstract: Segmentation is provided in multi-modal reconstruction of functional information. Rather than using HU values for segmentation, the HU values are converted into linear attenuation coefficients, such as in a ?-map (Mu map). The conversion uses different functions for different ranges of the HU values. Linear attenuation coefficients are less likely subject to variation by patient, protocol, or scanner. The resulting segmentation may be more consistent across various clinical settings, providing for more accurate multi-modal reconstruction.

Abstract: A human image detection and tracking systems and methods are disclosed. A human image detection method comprises receiving a depth image data from a depth image sensor by an image processing unit, removing a background image of the depth image sensor and outputting a foreground image by the image processing unit, receiving the foreground image and operating a graph-based segment on the foreground image to obtain a plurality of graph blocks by a human image detection unit, determining whether a potential human region exists in the graph blocks, determining whether the potential human region is a potential human head region, determining whether the potential human head region is a real human head region, and regarding the position of the real human head region is the human image position by the human image detection unit if the potential human head region is the real human head region.

Abstract: A key word detection device and a method for detecting a search key word from a target image in order to perform a search with a search engine on the internet, the key word detection device comprising: a processor configured to operate as a feature point detector configured to detect a feature point of a specific character string from the target image, the specific character string prompting a user to perform the search; a key word recognition unit configured to recognize a character string existing in surroundings of the feature point detected by the feature point detector as the search key word in the target image; and a storage for storing character information and data of the target image used by the processor.

Abstract: This document discusses systems and methods that track overall time for processing operations such that the processing time can be shared among the resources efficiently. Processing time can be shifted to image processing to provide the most benefit to image quality. Moreover, access time from one process is banked to be used by a subsequent process or on a subsequent group of pixels. This document discusses systems and methods that provide additional processing power on an as needed basis. For example, a processing stage and its controller are outside the normal pixel processing flow path. When it is determined that additional processing is required, the processing stage and its controller are activated to perform the additional processing. This document discusses systems and methods that provide parallel processing in a processing stage such that the data can flow internal to the controller linked to the processing stage and globally.

Abstract: A stereoscopic measurement system captures stereo images and determines measurement information for user-designated points within stereo images. The system comprises an image capture device for capturing stereo images of an object. A processing system communicates with the capture device to receive stereo images. The processing system communicates with the capture device to receive stereo images. The processing system displays the stereo images and allows a user to select one or more points within the stereo image. The processing system processes the designated points within the stereo images to determine measurement information for the designated points.

Abstract: Disclosed herein is a framework for segmenting articulated structures. In accordance with one aspect, the framework receives a target image, a reference image, statistical shape models, local appearance models and a learned landmark detector. The framework may automatically detect first centerline landmarks along centerlines of articulated structures in the target image using the learned landmark detector. The framework may then determine a non-rigid transformation function that registers second centerline landmarks along centerlines of articulated structures in the reference image with the first centerline landmarks. Mean shapes of the statistical shape models may then be deformed to the target image space by applying the non-rigid transformation function on the mean shapes. The framework may further search for candidate points in the mean shapes using the local appearance models. The mean shapes may be fitted to the candidate points to generate a segmentation mask.

Abstract: A method for calibrating a laser measuring apparatus having a laser illumination unit and an image capturing unit includes the following steps. A calibration board having at least one slit gap and a plurality of markers is provided. The relative position between the calibration board and the laser illumination unit is adjusted to allow a slit laser beam emitted by the laser illumination unit to pass through the at least one slit. The calibration board is captured by the image capturing unit to generate a calibration board image. The calibration board image is processed so as to obtain a camera coordinate of each of the markers. A plurality of calibration parameters are calculated according to the camera coordinate and an actual coordinate of each of the markers so as to obtain actual coordinates of an object captured in an object image generated by the laser measuring apparatus.

Abstract: A method of identifying a palm area for a touch panel has steps of: receiving sensing frame information having multiple touching sensing points from the touch panel; selecting one of the touching sensing points; outwardly extending a distance from an outline of the selected touching sensing point to define a searching range; checking whether other touching sensing points are within the searching range; marking the touching sensing points in the searching range and expanding the searching range based on the currently marked touching sensing points; sequentially selecting and checking each touching sensing point if it is within the present searching range; and finally merging all the outlines of the marked touching sensing points to form a final outline as a palm area. Other unmarked touching sensing points are defined as touching reference points.

Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object by fusing cameras of multiple resolutions (spatial, temporal, or spectral), the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object by a hybrid camera system comprising at least two imaging systems. The imaging systems are characterized by respective temporal and spatial resolution and by spectral sensitivity, and may be distinct from one another in one or more of the foregoing dimensions. The imaging systems are either fixed, or subject to know motion, relative to each other. Image sequences derived by each imaging system are coregistered and deconvolved to solve for a resultant sequence of images.

Abstract: Differing embodiments of this disclosure may employ one or all of the several techniques described herein to utilize a “split” image processing pipeline, wherein one part of the “split” image processing pipeline runs an object-of-interest recognition algorithm on scaled down (also referred to herein as “low-resolution”) frames received from a camera of a computing device, while the second part of the “split” image processing pipeline concurrently runs an object-of-interest detector in the background on full resolution (also referred to herein as “high-resolution”) image frames received from the camera.

Abstract: Systems and methods are provided the autocentering, autofocusing, acquiring, decoding, aligning, analyzing and exchanging among various parties, images, where the images are of arrays of signals associated with ligand-receptor interactions, and more particularly, ligand-receptor interactions where a multitude of receptors are associated with microparticles or microbeads. The beads are encoded to indicate the identity of the receptor attached, and therefore, an assay image and a decoding image are aligned to effect the decoding. The images or data extracted from such images can be exchanged between de-centralized assay locations and a centralized location where the data are analyzed to indicate assay results. Access to data can be restricted to authorized parties in possession of certain coding information, so as to preserve confidentiality.

Abstract: A method for obtaining an image of tooth tissue directs incident light toward a tooth, wherein the incident light excites a fluorescent emission from the tooth tissue. Fluorescence image data is obtained from the fluorescent emission. Back-scattered reflectance image data is obtained from back-scattered light from the tooth tissue. The fluorescence and back-scattered reflectance image data are combined to form an enhanced image of the tooth tissue for caries detection.

Abstract: Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. The HDR image is separated into luminance and color. Luminance is processed according to the parameters to obtain a base layer and a detail layer. The base layer is compressed into a lower dynamic range and the detail layer is adjusted according to the parameters. The compressed base layer, the detail layer, and the color component may be output as separate layers, and various image processing tools and techniques may be applied to the component layers separately to modify the layer(s). One or more tone-mapped images may be generated by merging the modified layers. Thus, each layer of the tone-mapped image may be processed separately using various image processing tools or techniques to modify the output of the tone mapping technique in a wide variety of ways.

Abstract: Systems and methods are provided for control of a personal computing device based on user face detection and recognition techniques.

Abstract: Data-driven guarded evaluation of conditional-data associated with data objects is used to control activation and processing of the data objects in an interactive geographic information system. Methods of evaluating conditional-data to control activation of the data objects are disclosed herein. Data structures to specify conditional data are also disclosed herein.

Abstract: Predicting likely fingerprint information (most likely finger, orientation, or otherwise), responsive to situational information or spatial orientation, for matching with a function button. The device determines first, second, and further likely choices. Responsive to display orientation and an accelerometer, the device determines whether the function button is on the right or left. Responsive to recent movement, the device determines the user's most likely hand movements. Responsive to a lifetime average, situational information, or accessories coupled to the device, the device determines the user's most likely finger choice. Responsive to most likely choice, the device can de-crypt match information while collecting fingerprints.

Abstract: A user may react to an interaction by exhibiting a mental state. A camera or other monitoring device can be used to capture one or more manifestations of the user's mental state, such as facial expressions, electrodermal activity, or movements. However, there may be conditions where the monitoring device is not able to detect the manifestation continually. Thus, various capabilities and implementations are described where the mental state data is collected on an intermittent basis, analyzed, and an output rendered based on the analysis of the mental state data.