Abstract: Disclosed in the present invention is a contrast constrained aerothermal radiation correction method. By analyzing features of images at different intensities of aerothermal radiation, it has been discovered that the stronger the aerothermal radiation effect is, the smaller the image contrast becomes, and when thermal radiation correction is performed using a gradient fitting algorithm, it has been discovered that time consumption thereof grows exponentially with an increase in a degree of a fitting surface and with an increase in an image size. The present invention can rapidly and effectively restore an aerothermal radiation image, remarkably improving a signal to noise ratio and quality of the image.

Abstract: There is provided a system including a memory and a processor configured to receive a first image depicting a first object and a second image depicting a second object, divide the first image into a first plurality of patches and the second image into a second plurality of patches, extract plurality of feature vectors from each of the first plurality of patches and a second plurality of feature vectors from the second plurality of patches, determine dissimilarities based on a plurality of patch metrics, each patch dissimilarity measure being a dissimilarity between corresponding patches of the first plurality of patches and the second plurality of patches, compute an image dissimilarity between the first image and the second image based on an aggregate of the plurality of patch dissimilarity measures, evaluate the image dissimilarity to determine a probability of whether the first object and the second object are the same.

Abstract: A post capture imagery processing system is provided. The system is for use with aerial imagery and includes a server having a processor and a memory and a software application providing instruction to the server to process the captured aerial imagery, such as spherical imagery. The server further includes instructions to geo-rectify the spherical imagery. The geo rectifying of the spherical imagery may include one of use of a third party GIS map to associate corresponding data with the spherical imagery in order to produce a geo-referenced spherical image, or calculate the geo-references by a software application performing particular operations on the server.

Abstract: The present invention provides techniques for detecting foreign objects in a region of interest in maritime environments. Image data indicative of a sequence of successively acquired images of the region of interest, is analyzed to determine candidate points of interest, and data indicative of said points is processed to identify candidate points that are adjacently accumulated in different locations in images data. Grouping data may be then generated based on the identified accumulations of candidate points indicative of a group of said candidate points. The grouping data is processed to identify spatio-temporal correlation between the points in the group and determine a corresponding track function, thereby enabling detection of a presence of a foreign object in the image data.

Abstract: An amount of code is reduced for blocks in which visible degradation is not easily susceptible, while a large amount of code is assigned to blocks whose degradation in image quality is easily perceptible thereby suppressing the number of blocks for which a process is performed to achieve high quality image and thus suppressing an increase in the total amount of code. An input image is encoded in units of blocks. A block evaluation value for the block is calculated. The block is divided into N sub-blocks where N is equal to or greater than 2, and a sub-block evaluation value is calculated for each sub-block. A quantization parameter for the block is controlled based on the block evaluation value and the sub-block evaluation values.

Abstract: A method and device for eye gaze estimation with regard to a sequence of images. The method comprises receiving a sequence of first video images and a corresponding sequence of first eye images of a user watching at the first video images; determining first saliency maps associated with at least a part of the first video images; estimating associated first gaze points from the first saliency maps associated with the video images associated with the first eye images; storing of pairs of first eye images/first gaze points in a database; for a new eye image, called second eye image, estimating an associated second gaze point from the estimated first gaze points and from a second saliency map associated with a second video image associated with the second eye image; storing the second eye image and its associated second gaze point in the database.

Abstract: A multimodality imaging system and method for mineralogy segmentation is disclosed. Image datasets of the sample are generated for one or more modalities, including x-ray and focused ion beam scanning electron microscope (FIB-SEM) modalities. Mineral maps are then created using Energy Dispersive X-ray spectroscopy (EDX) from at least part of the sample covered by the image datasets. The EDX mineral maps are applied as a mask to the image datasets to identify and label regions of minerals within the sample. Feature vectors are then extracted from the labeled regions via feature generators such as Gabor filters. Finally, machine learning training and classification algorithms such as Random Forest are applied to the extracted feature vectors to construct a segmented image representation of the sample that classifies the minerals within the sample.

Abstract: A QR code is combined with a base image, preserving useful functionalities of both the base image and the QR code. For example, the base image remains clearly visible and recognizable by humans; the transparent QR code remains readable by scanners; machine image search can distinguish the base image from the combined image; and faces of the combined image are usable by machine face recognition programs. A QR code is generated with transparencies for different regions. An inner portion and outer shell portion for each module each may have different transparencies. Inner portion size relative to outer shell size is selectively adjustable. The generated QR code image may be combined with a given base image such as a face or company logo using the transparency values of the QR code image to make the two images appear as overlaid on one another with varying degrees of transparency.

Abstract: A lane detection system includes a non-volatile memory storing machine-readable instructions and an image processor capable of receiving a road image. The image processor, when executing the machine-readable instructions, is capable of: (i) processing the road image to identify a lane candidate within a lane-existing region of the road image, the lane-existing region having (a) a near subregion including an imaged road region nearer to the vehicle and (b) a far subregion including an imaged road region farther from the vehicle, (ii) verifying the lane candidate as a true lane candidate when a minimum distance between (a) a line fit to a portion of the lane candidate in the near subregion and (b) a predetermined reference point in the road image is less than a neighborhood distance; and (iii) extending the true lane candidate into the far subregion to form a detected lane marker demarcating the lane marker.

Abstract: A method for demosaicing, performed by a processing unit, at least containing: acquiring a frame with a Bayer pattern, wherein the Bayer pattern has alternating red (R), green (G) and blue (B) pixels; calculating a green (RG) value for each R pixel; calculating a green (BG) value for each B pixel; calculating a blue (RB) value for each R pixel; and calculating a red (BR) value for each B pixel. The step of calculating an RG or BG value for each R or B pixel at least contains: selecting one of a first interpolation algorithm and a second interpolation algorithm according to chrominance differences between the R or B pixel and surrounding pixels in a horizontal direction and a vertical direction; and using the selected interpolation algorithm to calculate the RG or BG value for the R or B pixel.

Abstract: Vehicles and other items often have corresponding documentation, such as registration cards, that includes a significant amount of informative textual information that can be used in identifying the item. Traditional OCR may be unsuccessful when dealing with non-cooperative images. Accordingly, features such as dewarping, text alignment, and line identification and removal may aid in OCR of non-cooperative images. Dewarping involves determining curvature of a document depicted in an image and processing the image to dewarp the image of the document to make it more accurately conform to the ideal of a cooperative image. Text alignment involves determining an actual alignment of depicted text, even when the depicted text is not aligned with depicted visual cues. Line identification and removal involves identifying portions of the image that depict lines and removing those lines prior to OCR processing of the image.

Abstract: In a method and apparatus for acquiring a magnetic resonance imaging dataset of an area to be examined of a patient by magnetic resonance data are acquired over a prespecified acquisition period which has been fixed for the acquisition process. This acquisition period is divided into a number of sub-periods. For each sub-dataset of the magnetic resonance data acquired by undersampling in a sub-period, at least one motion value describing the motion status of the area to be examined is determined, and the data subsets to be used for the reconstruction of the magnetic resonance imaging dataset are selected in dependence on the motion values in order to minimize motion artifacts.

Abstract: A method for performing cellular classification includes generating a plurality of local dense Scale Invariant Feature Transform (SIFT) features based on a set of input images and converting the plurality of local dense SIFT features into a multi-dimensional code using a feature coding process. A first classification component is used to generate first output confidence values based on the multi-dimensional code and a plurality of global Local Binary Pattern Histogram (LBP-H) features are generated based on the set of input images. A second classification component is used to generate second output confidence values based on the plurality of LBP-H features and the first output confidence values and the second output confidence values are merged. Each of the set of input images may then be classified as one of a plurality of cell types using the merged output confidence values.

Abstract: A method includes: displaying a digital image on a first portion of a display of a mobile device; receiving user feedback via the display of the mobile device; analyzing the user feedback to determine a meaning of the user feedback; based on the determined meaning of the user feedback, analyzing a portion of the digital image corresponding to either the point of interest or the region of interest to detect one or more connected components depicted within the portion of the digital image; classifying each detected connected component depicted within the portion of the digital image; estimating an identity of each detected connected component based on the classification of the detected connected component; and one or more of: displaying the identity of each detected connected component on a second portion of the display of the mobile device; and providing the identity of each detected connected component to a workflow.

Abstract: A system and method for receiving input from a user is provided. The system includes at least one camera configured to receive an image of a hand of the user and a controller configured to analyze the image and issue a command based on the analysis of the image.

Abstract: Multimodal data mining in a multimedia database is addressed as a structured prediction problem, wherein mapping from input to the structured and interdependent output variables is learned.

Abstract: Context-based provision of screenshot modification is provided herein. A screenshot image is obtained and analyzed to determine an acquisition context of the screenshot image, the acquisition context being a context in which the screenshot image was acquired. A display context in which the screenshot image is to be displayed is determined, and the screenshot image is prepared for display in the display context, the preparing including applying one or more modifications to one or more visual elements of the screenshot image based on the acquisition context and on the display context.

Abstract: The method and system may be used to provide an indication of a color value for a particular siding sample and to color match a specific siding product to the color value of the siding sample. The system receives a digital image of a siding sample and a desired color value to be matched. A color query module plots this desired color value as a desired color point in a multidimensional color space together with a plurality of color reference points. Each color reference point represents the color value of an existing siding product. The system determines a “distance” between the desired color point and each plotted color reference point within the color space and identifies the siding product associated with the color reference point that is located the shortest distance to the desired color point within the color space.

Abstract: A system for the determination of retroreflectivity values for reflective surfaces disposed along a roadway repeatedly illuminates an area along the roadway that includes at least one reflective surface using a light source. Multiple light intensity values are measured over a field of view which includes at least a portion of the area illuminated by the light source. A computer processing system is used to identifying a portion of the light intensity values associated with a reflective surface and analyze the portion of the light intensity values to determine at least one retroreflectivity value for that reflective surface.

Abstract: In a light control system, a captured image of a cruising direction of a vehicle is acquired, and a light source is extracted from the captured image. A probability for estimating a light source to be a vehicle light source originating from a vehicle is calculated based on light source parameters for differentiating the light source. A dark section that is darker than the periphery and is present below the light source in the captured image is extracted. The probability is set to be higher for the light source of which the dark section is extracted. The light source having a probability that is a reference value set in advance or higher is estimated to be a light source of another vehicle. When the dark section that is detected as a shadow of a vehicle is detected, the probability of the light source being a vehicle light source is set to be high.