Abstract: In some examples, a service provider may receive an indicated delivery location from a buyer device. The service provider may determine, based at least in part on traffic information, respective predicted courier travel times to the delivery location from a plurality of different merchant locations. The service provider may compare the respective predicted courier travel times with respective spoilage times for items offered by the corresponding merchants, and may identify one or more items having respective spoilage times greater than the respective predicted courier travel time from that merchant location. The service provider may send, to the buyer device, information about items available to be ordered from particular merchants having respective spoilage times greater than the predicted courier travel time from respective the merchant location. The buyer device may present the item information on a display to enable buyer selection of an item for delivery.

Abstract: Tracking remaining storage capacity of a vehicle using sensors via a wireless system of the vehicle is presented herein. A method can include receiving, by a system comprising a processor, first data representing an object; receiving, by the system, second data representing a storage space of a vehicle; and determining, by the system using the first data and the second data, whether the object is capable of placement within the storage space of the vehicle. In an example, the method can further include displaying, by the system, information representing an order of placements of a set of objects comprising the object, a proposed location for the object, and/or a proposed orientation for the object within the storage space of the vehicle in response to the object being determined to be capable of placement within the storage space of the vehicle.

Abstract: A method and system including receiving marking information, determining, at least in part, based on the marking 0 information, a plurality of color element additives, adding the plurality of color element additives to at least one color element of a video frame, wherein the at least one color element includes a color element R, a color element G, and a color element B. Related methods and systems are also described.

Abstract: Methods, devices and computer program products allow improved detection of watermarks into and from a multimedia content. One method for detecting watermarks from a host content includes performing watermark extraction to obtain a first sequence of watermark symbols from the host content and generating a plurality of predicted watermark templates. Each template corresponds to a sequence of watermark symbols that is predicted based on the first sequence of watermark symbols. A section of the host content is processed to obtain a candidate sequence of watermark symbols and correlation operations between the candidate sequence of watermark symbols and symbols of the predicted watermark templates are performed until a correlation result that is indicative of a successful watermark detection is obtained. An indication that the candidate sequence of watermark symbols represents at least a portion of a reliably extracted watermark message can then be produced.

Abstract: A method for reversible image data hiding includes steps of encrypting an original image by an encryption process to generate an encrypted image, embedding a message into the encrypted image by an embedment process to generate an embedded image, and extracting the message and the original image from the embedded image by a decryption and extraction process. The encryption process includes generating a key stream by using a secret encryption key, and generating an encrypted image by XORing the original image with the key stream. The embedment process includes generating an embedded image by embedding the message via XORing the encrypted image with a predetermined public key set.

Abstract: A device comprises an input unit, a motion acquisition unit, a matrix operation unit, and a drawing unit. The input unit implements sequential input of a first frame image and a second frame image. The motion acquisition unit acquires motion data between the first frame image and the second frame image. The matrix operation unit calculates a projection matrix to project the output frame image to the second frame image, from a first matrix including a rolling shutter distortion component, a second matrix including at least one of a parallel translation component in directions perpendicular to an image-shooting direction and a rotation component with respect to the image-shooting direction, and an auxiliary matrix including a motion component not included in the first matrix and the second matrix. The drawing unit generates the output frame image from the second frame image by using the projection matrix.

Abstract: The present disclosure is applicable to the field of image processing, and provides a portrait deformation method and apparatus. The method includes: reading a picture including a portrait; detecting a facial feature of the portrait in the picture; deforming the detected facial feature according to preset control points, to obtain a corresponding deformation field, the number of the preset control points being greater than 1; and making the deformation field act on the picture, so as to convert the picture into a deformed picture. According to embodiments of the present invention, lines of a deformed portrait are more continuous.

Abstract: An image processing method includes configuring a noise reduction filter for each of pixels in an image in accordance with a linear noise model of the image, based on different levels of a noise effect caused to a corresponding pixel, among the pixels, by other pixels, among the pixels and adjacent to the corresponding pixel. The method further includes performing noise reduction filtering on each of the pixels, using the noise reduction filter for each of the pixels, to obtain a noise reduced image.

Abstract: A fog in an image is quickly removed with a small processing load. An image processing device includes a dark channel image generating section 20 for generating a dark channel image based on an input image, a transmittance image generating section 30 for generating a transmittance image based on the dark channel image generated in the dark channel image generating section 20 and a pixel value of atmospheric light, a transmittance correcting section 40 for correcting the transmittance image generated in the transmittance image generating section 30, and a fog removal image generating section 60 for removing fog in the input image based on the transmittance image corrected in the transmittance correcting section 40, the pixel value of atmospheric light, and the input image.

Abstract: According to some examples, a method for Optical Coherence Tomography (OCT) image modification includes receiving an OCT image of a region of interest of patient tissue from an OCT imaging system configured to direct an OCT beam at the region of interest and determining that an OCT transparent instrument is within the OCT image. The method further includes detecting an artifact in the OCT image, the artifact resulting from the OCT transparent instrument being within a path of the OCT beam. In response to detecting the artifact, the method further includes creating an image modification plan to remove the artifact from the OCT image. The method further includes executing the image modification plan to remove the artifact from the OCT image.

Abstract: A method for image edge anti-aliasing with super-resolution is provided and used to achieve enlargement conversion from low resolution to high resolution, by applying the steps of: detecting a received image data and saving as an original edge pixel frame; enlarging the original edge pixel frame in double size along the horizontal and vertical directions, respectively; retaining the original edge pixel information; replacing pixels to be interpolated with a zero grayscale; and compensating the pixels to be interpolated which are temporarily replaced by the zero grayscale along edge directions of the original edge pixel, such that the jagged phenomenon of output picture is output picture is significantly decreased, such that the jagged phenomena of an output picture is significantly decreased, with a detailed image information is well-maintained. The method is simple, with fewer calculations and faster operating speed, the cost can be effectively reduced.

Abstract: A method involving: detecting in an image a first type of artifact (A1) to generate a first artifact value (GA1) and a first confidence level (CA1); detecting in the image a second type of artifact (A2) to generate a second artifact value (GA2) and a second confidence level (CA2); and performing correction of the first type of artifact (A1) in the image based on the first and second artifact values (GA1, GA2) and the relative values of the first and second confidence levels (CA1, CA2).

Abstract: In an example, a method for image processing may include inputting a first pixel value corresponding to a first pixel of an image into a LUT. The LUT may map one or more LUT input values to one or more LUT output values. The first pixel value may correspond to a first LUT input value that maps to a first LUT output value in the LUT. The first pixel may include one or more pixel values. The method may include generating a noise value for the first LUT input value. The method may include generating a first interpolated LUT output value for the first LUT input value based on the noise value. The method may include transforming the image into a transformed image using the first interpolated LUT output value.

Abstract: A device and method of extracting a keypoint, and an image matching system for analyzing an online distribution situation of contents using the same are provided. The device for extracting a keypoint which is robust to image change, includes: a keypoint extraction unit configured to extract a corner region in an image as a keypoint candidate region, and extract the keypoint from the keypoint candidate region; and a keypoint postprocessing unit configured to generate a keypoint descriptor with respect to the extracted keypoint.

Abstract: A method for generating an image restoration filter used to correct a deterioration of an image captured through an optical system includes a first step of setting a target restoration gain value representative of a target restoration degree of an absolute value of an optical transfer function of the optical system, within a restoration gain limiting value calculated by dividing a maximum value operable by a fixed-point arithmetic by a data point number of the optical transfer function, and a second step of generating, through the fixed-point arithmetic, a frequency characteristic of the image restoration filter based on the target restoration gain value set by the first step.

Abstract: A bilateral filtering method includes decomposing an image patch by pixel intensity to form a stack of patches; computing spatial filtering response of each intensity; multiplying the spatial filtering response of each intensity by corresponding intensity, thereby resulting in multiplied spatial filtering response of each intensity; and summing up the multiplied spatial filtering responses of different intensities weighted with corresponding range weights.

Abstract: A system and method for enhancing digital photographs by enabling end-users to add 3D objects to digital photographs. The end-user can select a 3D object from a library, place the 3D object on the digital photograph and then manipulate the 3D object to customize it to its taste. The 3D object can be directly manipulated by the end-user and the end-user can create an infinite number of object variations, in contrast to systems of the art where an end-user can only select object variations from a given number of preloaded object variations. The modified digital photograph can then be shared by the user in one or more social networks.

Abstract: Disclosed is a device for rapidly and comprehensively inspecting a lens actuator, the device comprising a bracket (4) for fixing the lens actuator, a cone-shaped body (2) and a camera (1), wherein the outer surface of the cone-shaped body (2) is a mirror surface, the cone-shaped body (2) is mounted on the top of the bracket (4), and the camera (1) is hung above the cone-shaped body (2). Further disclosed is a system employing the above-mentioned device for rapidly and comprehensively inspecting a lens actuator, and a method for inspecting a lens actuator by using the above-mentioned device. A rapid inspection can be realized so as to facilitate quality inspection and control in mass production, and a comprehensive inspection also can be realized, the inspection items including lens stroke, magnitude of inclination and the similar items under different control conditions.

Abstract: A system for defining structures within an image is described. The system includes reading of an input file, preprocessing the input file while preserving metadata such as scale information and then detecting features of the input file. In one version the detection first uses an edge detector followed by identification of features using a Hough transform. The output of the process is identified elements within the image.

Abstract: An image processing apparatus includes an abnormal portion candidate region detection unit configured to detect a candidate region of an abnormal portion based on color information of each pixel constituting an image obtained by capturing an image of an inside of a lumen of a subject, a border neighboring pixel identifying unit configured to identify a border neighboring pixel which is a pixel existing in proximity to a border of the candidate region, a feature data calculation unit configured to calculate feature data based on a pixel value of the border neighboring pixel, and an abnormal portion region distinguishing unit configured to distinguish an abnormal portion region based on the feature data.

Abstract: A method and apparatus to simplify information obtained through electrical impedance tomography, the method comprising the steps of data collection through electrical impedance tomography and the respective processing thereof; the application of at least one algorithm to detect conditions, trends and specific events, so as to allow the identification of at least one region of interest as well as the production of an image including at least such region, which can be pre-defined or defined by the user. The graphical representation of the region of interest can be obtained through the use of a color, texture, figure, contour, etc. The data processed can consist of the impedance values or data derived thereof.

Abstract: An apparatus and method for medical diagnostics includes receiving three-dimensional (3D) volume data of a part of a patient's body, and generating two-dimensional (2D) slices including cross-sections of the 3D volume data cut from a cross-section cutting direction. The apparatus and the method also determine whether a lesion in each of the 2D slices is benign or malignant and output results indicative thereof, select a number of the 2D slices based on the results, and make a final determination whether the lesion is benign or malignant based on the selected 2D slices.

Abstract: Provided are an apparatus for processing a medical image, and a method of processing a medical image by using the apparatus. The apparatus includes: an image obtainer that receives a first image obtained by photographing an object; and an image processor that calculates a scaling factor for adjusting a magnification of the first image based on statistic information corresponding to the object and generates a second image to be displayed by normalizing a size of the object by applying the calculated scaling factor to the first image.

Abstract: A radiation image processing apparatus comprises a storage unit that stores part information with which an imaging region and an extraction size of a radiation image are associated, a recognizing unit that recognizes a region of interest from a radiation image based on an image region associated with designated part information, and an arrangement unit that arranges an extraction area of an extraction size associated with the designated part information on the radiation image in accordance with the region of interest recognized by the recognizing unit.

Abstract: An epidermis pattern detection unit detects epidermis patterns in an epidermis image captured from the epidermis of skin by an epidermis image capturing unit. An acquired element analysis unit analyzes uniformity of shapes of the epidermis patterns in the epidermis image. A texture evaluation unit evaluates a texture state of the skin based on the uniformity of shapes of the epidermis patterns. The present technology, for example, may be applied to systems that evaluate the texture state of the skin.

Abstract: Provided are an apparatus and method for fast and adaptive computer-aided detection of pulmonary nodules and differentiation of malignancy from benignancy in thoracic CT images using a hierarchical vector quantization scheme. Anomalous pulmonary nodules are detected by obtaining a two-dimensional (2D) feature model of a pulmonary nodule, segmenting the pulmonary nodule by performing vector quantification to expand the 2D feature model to a three-dimensional (3D) model, and displaying image information representing whether the pulmonary nodule is benign, based upon the 3D model expanded from the 2D feature model, with duplicate information eliminated by performing feature reduction performed using a principal component analysis and a receiver operating characteristics area under the curve merit analysis.

Abstract: Scanning beam device calibration using a calibration pattern is disclosed. In one aspect, a method may include acquiring an image of a calibration pattern using a scanning beam device. The acquired image may be compared with a representation of the calibration pattern. The scanning beam device may be calibrated based on the comparison. Software and apparatus to perform these and other calibration methods are also disclosed.

Abstract: Generating a calibrated camera alignment model for image capture devices having overlapping fields-of-view may include identifying a camera alignment model describing a first candidate alignment path for a defined location in a first input frame and a second candidate alignment path for the defined location in a second input frame, identifying a third candidate alignment path spatially adjacent to the first candidate alignment path, identifying a fourth candidate alignment path spatially adjacent to the second candidate alignment path, identifying a first point along the first candidate alignment path or the second candidate alignment path corresponding to a second point along the third candidate alignment path or the fourth candidate alignment path, and updating the camera alignment model based on the first point, the second point, or both.

Abstract: An image processing apparatus includes a storage unit that is capable of storing a look-up table having association information for associating at least one first image with at least one second image that is different from the first image, a constraint condition storage unit that is capable of storing a constraint condition, which is to be satisfied by at least one of an input image, the association information and an output image, an image accepting unit that accepts at least one image, a mapping unit that acquires at least one second image associated with the at least one image accepted by the image accepting unit, so as to match the constraint condition, using the association information, and an image output unit that outputs an output image configured by the at least one second image acquired by the mapping unit.

Abstract: An apparatus and a method for detecting an event from a plurality of captured images are disclosed. An apparatus for generating an individual event rule is provided, comprising an image receiver, an image synthesis unit, an event rule acquisition unit, an individual event rule generator and a rule transmitter. The image receiver receives multiple captured images from multiple cameras. The image synthesis unit synthesizes the multiple captured images through conversion functions corresponding to coordinate systems of the multiple cameras into a main image. The event rule acquisition unit acquires an event rule for the main image. The individual event rule generator converts the event rule through the conversion functions into individual event rules corresponding respectively to the cameras. The rule transmitter transmits the individual event rules for identifying a single event.

Abstract: The present invention relates to a medical data processing method of transforming a representation of an anatomical structure of a patient in a first imaging modality into a representation of the anatomical structure in a second, other imaging modality, the method being constituted to be executed by a computer and comprising the following steps: acquiring first modality image data describing the first modality medical image containing the representation of the anatomical structure in the first imaging modality; acquiring atlas data describing a first modality atlas image describing a general structure of the anatomical structure in the first imaging modality, the atlas data containing information about the representation of the general structure in the second imaging modality; determining, based on the first modality image data and the atlas data, a first matching transformation between the first modality medical image and the first modality atlas image; determining, based on the first matching transformation

Abstract: A method for vehicle positioning is provided, which includes the steps of identifying at least one vehicle in an image, obtaining identification information of each vehicle from the image, and transforming coordinates of each vehicle in the image into positioning information of the corresponding vehicle according to mapping information. The positioning information is a position of the corresponding vehicle in real world. Precise lane-level vehicle positioning can be achieved based on comparison with the identification information or the positioning information.

Abstract: A display apparatus (which may be included in an imaging apparatus) includes: a display unit; a guide display generation circuit which acquires an image file including image data and photographing posture data including information of an inclination and a height of an imaging apparatus performing an imaging operation when the image data was created by the imaging operation to generate a photographing posture guide display based on the photographing posture data; and a display control circuit which causes the display unit to display an image based on the image data and the photographing posture guide display. A data processing apparatus may include a signal processing circuit which creates an image file including image data and photographing posture data.

Abstract: A plurality of images are captured by an image capturing device that is an integral part of the mobile data collection platform from at least two different perspectives that depict a point of interest in a scene. Coincident with capture of each of the plurality of images, orientation information is obtained via orientation sensors of the mobile data collection platform, a position fix of an antenna associated with the mobile data collection platform is determined, and a position of an entrance pupil of the image capturing device is calculated. Scale information associated with at least one of the images is captured. Scene data comprises the images, the orientation information and the entrance pupil positions. A three dimensional position of the point of interest at the scene is determined based on photogrammetric image processing of the scene data.

Abstract: To calculate the position and orientation of a target object with high accuracy, an information processing apparatus converts an image feature on a two-dimensional image into a corresponding position in a three-dimensional space, acquires a first registration error between the converted image feature and a geometric feature of a model, acquires a second registration error between a distance point and the geometric feature of the model, and then derives the position and orientation of the target object based on the acquired first registration error and the acquired second registration error.

Abstract: Techniques are provided for generating a 3-Dimensional (3D) reconstruction of a handheld object. An example method may include receiving 3D image frames of the object from a static depth camera, each frame including a color image and a depth map. Each of the frames is associated with an updated pose of the object during scanning. The method may also include extracting a segment of each frame corresponding to the object and the hand; isolating the hand from each extracted segment; and filtering each frame by removing regions of the frame outside of the extracted segment and removing regions of the frame corresponding to the isolated hand. The method may further include calculating the updated object pose in each filtered frame; and calculating a 3D position for each depth pixel from the depth map of each filtered frame based on the updated object pose associated with that filtered frame.

Abstract: A method for determining a depth of a target object in an environment is disclosed. The method comprises sensing a depth of objects within the environment with a depth sensing apparatus (1 10), identifying a disocclusion gap caused by the target object (120), detecting a position of edge contours of the disocclusion gap (1 30), and calculating a depth of the target object from the position of the disocclusion gap edge contours and a position of the depth sensing apparatus (140). Also disclosed are a computer program product for carrying out a method for determining a depth of a target object in an environment and an apparatus (300) for determining a depth of a target object in an environment.

Abstract: An image such as a light-field image may be captured with a light-field image capture device with a microlens array. The image may be received in a data store along with a depth map that indicates depths at which objects in different portions of the image are disposed. A function may be applied to the depth map to generate a mask that defines a gradual transition between the different depths. An effect may be applied to the image through the use of the mask such that applicability of the effect is determined by the mask. A processed image may be generated. The first effect may be present in the processed image, as applied previously. The processed image may be displayed on a display device. If desired, multiple effects may be applied through the generation of multiple masks, depth maps, and/or intermediate images prior to generation of the processed image.

Abstract: A system and method of operation of an image processing system includes: a capture image sequence module for receiving an image sequence; a calculate iteration depth map module for calculating an iteration depth map and a zero-crossing array; a calculate median depth map module for calculating a median depth map and a depth difference map; a calculate variance depth map module for calculating a variance depth map; a calculate image depth map module for calculating an image depth map based on the iteration depth map, the zero-crossing array, the median depth map, the depth difference map, and the variance depth map; and a calculate display image module for calculating a display image based on the received images and the image depth map for displaying on a display device.

Abstract: A method and optical system for determining a depth map of an image, the method including: determining a first focus measure of a first color in at least one region of the image; determining a second focus measure of a second color in the at least one region of the image; determining a ratio of the first and the second focus measure; and determining the depth map based on a ratio of the first and second focus measure.

Abstract: Methods, apparatuses, and computer readable storage media are provided for determining a depth measurement of a scene using an optical blur difference between two images of the scene. Each image is captured using an image capture device with different image capture device parameters. A corresponding image patch is identified from each of the captured images, motion blur being present in each of the image patches. A kernel of the motion blur in each of the image patches is determined. The kernel of the motion blur in at least one images patch is used to generate a difference convolution kernel. A selected first image patch is convolved with the generated difference convolution kernel to generate a modified image patch. A depth measurement of the scene is determined from an optical blur difference between the modified image patch and the remaining image patch.

Abstract: An improved algorithm for edge detection is provided that utilizes the second order derivative of the intensity distribution function of an image to provide edge orientation information for the detected edges. An exemplary embodiment of the improved algorithm includes determining the second order derivative of the intensity distribution function, identifying zero-crossings in the horizontal and vertical directions, assigning angle information to the identified zero-crossings in the horizontal and vertical directions; and identifying an edge orientation based the assigned angle information for the horizontal and vertical zero-crossing of the edge and adjacent edges.

Abstract: With this device, an edge pair likelihood map generation unit (120) computes edge pair likelihood which denotes the plausibility that a pixel of a pair is an edge of an estimation subject site, and generates an edge pair likelihood map which denotes the edge pair likelihood for each pixel. A continuity likelihood map generation unit (130) evaluates, upon the edge pair likelihood map, the continuity for the edge pair likelihood of a pixel which is included in a region wherein the estimate subject site is presumed, and generates a continuity likelihood map which denotes an edge pair likelihood which has continuity as a candidate region of the estimate subject site. An integrated likelihood map generation unit (140) generates an integrated likelihood map which denotes the candidate region which the continuity likelihood map denotes, refined based on a predetermined condition.

Abstract: Methods and systems for detecting and/or tracking one or more objects utilize depth data. An example method of detecting one or more objects in image data includes receiving depth image data corresponding to a depth image view point relative to the one or more objects. A series of binary threshold depth images are formed from the depth image data. Each of the binary threshold depth images is based on a respective depth. One or more depth extremal regions in which image pixels have the same value are identified for each of the binary depth threshold images. One or more depth maximally stable extremal regions are selected from the identified depth extremal regions based on change in area of the one or more respective depth extremal regions for different depths.

Abstract: An image processing apparatus includes a moving image acquiring unit that acquires a moving image including a plurality of frame images a respiratory information acquiring unit that performs a respiratory information acquiring processing of acquiring respiratory information synchronized at times at which the frame images are captured, a blood-flow-restricted time determining unit that performs a blood-flow-restricted time determining processing of determining, on the basis of the respiratory information, a blood-flow-restricted time indicating a time at which the blood flow of the target region is assumed to be restricted due to respiration, and a blood flow analysis correcting unit that performs a blood-flow-analysis content correcting processing of excluding the frame image captured at the blood-flow-restricted time from targets for blood flow analysis or decreasing the blood-flow-analysis importance of the frame image compared with another time period.

Abstract: A surgical mechanism control system including an acceleration or orientation detection unit to output a control signal in response to detecting an acceleration or orientation of the unit, the unit being attachable to a surgeon. The unit includes an acceleration sensor and the acceleration sensor has an associated threshold acceleration, such that an acceleration below the associated threshold acceleration does not cause actuation of an associated switch unit and an acceleration above the associated threshold acceleration does cause the associated switch unit to actuate. A control signal is output on actuation of the switch unit and foot pedal, and the control signal is used to control a surgical mechanism.

Abstract: A computer implemented method of object extraction from video images, the method comprising steps a computer is programmed to perform, the steps comprising: receiving a plurality of video images, deriving a plurality of background templates from at least one of the received video images, calculating a plurality of differences from an individual one of the received video images, each one of the differences being calculated between the individual video image and a respective and different one of the background templates, and extracting an object of interest from the individual video image, using a rule applied on the calculated differences.

Abstract: A display control device for a vehicle, which is applied to a vehicle provided with an outside camera to image scenery in front of the vehicle and a display portion visible and operable for a driver, comprises an optical-flow presumption portion which presumes an optical flow based on the front scenery imaged by the outside camera, an additive-display-line setting portion to set an additive-display line to be applied to the display portion according to the optical flow presumed by the optical-flow presumption portion, and a display control portion to conduct a display control for the display portion based on the additive-display line set by the additive-display-line setting portion.

Abstract: Implementations relate to adjusting images using a texture mask. In some implementations, a method includes detecting one or more texture regions having detected texture in an image, and generating a mask from the image based on the detected texture regions. The detected texture regions are distinguished in the mask from other regions of the image that do not have detected texture. The method applies one or more adjustment operations to the image in amounts based on values of the mask.

Abstract: Disclosed are various embodiments for generating recommendations utilizing visual image analysis. A digital image provided by a client device is analyzed to identify an empty region in a setting embodied in the digital image. A recommended item, available for consumption via an electronic commerce system, may be identified based on characteristics of the setting embodied in the digital image and historical data associated with a user. A modified form of the digital image is generated comprising the recommended item in the empty region.