Abstract: A stereoscopic measurement system determines relative location of a point on an object based on a stereo image pair of the object. The system comprises an image capture device for capturing a stereo image pair of the object, the image pair comprising a first image and a second image of the object. The system comprises a processing system configurable to designate a first point and a second point on the first image, designate the first point and the second point on the second image, define stereo points based on the designated points, and to calculate a distance between the stereo points.

Abstract: An input to set a correction contour line inside one region from an operator is received, and a contour line of the one region is corrected so that the correction contour line becomes a part of a contour line after correction. In this case, when a start point of the correction contour line is located on a unique contour line of each region and an end point thereof is located on a contour line shared by the two regions, the contour line of the other region is maintained, and when the start point is located on the shared contour line and the end point is located on the unique contour line, the contour line of the other region is also corrected so that the correction contour line becomes the shared contour line in the contour lines of the two regions after the correction.

Abstract: A method for real face image recognition may include obtaining, by at least one processor, an human face image from an original image; obtaining, by at least one processor, a first image by executing a Point Divid Arithmetic Mean Illumination Treatment on the human face image; executing, by at least one processor, a Fourier transformation on the first image and obtaining, by at least one processor, the transformed value of each pixel of the first image; determining, by at least one processor, whether the human face image is a real human face according to the transformed value of each pixel of the first image and the preset classification threshold.

Abstract: Aspects of the present invention include an apparatus comprising a memory storing instructions, and a control unit configured to execute the instructions to detect an image of an object of interest within an image of real space, detect an orientation of the real space object image with respect to a real space user perspective, generate a modified image comprising an image of a modified object, corresponding to the real space object, such that an orientation of the modified object image corresponds to a desired user perspective, and display the modified image.

Abstract: A computer-implemented (including method implemented using laptop, desktop, mobile, and wearable devices) method for image filtering. The method includes analyzing each image to generate a content vector for the image; applying an interest operator to the content vector, the interest operator being based on a plurality of pictures with desirable characteristics, thereby obtaining an interest index for the image; comparing the interest index for the image to an interest threshold; and taking one or more actions or abstaining from one or more actions based on a result of the step of comparing. Also, related systems and articles of manufacture.

Abstract: An electronic apparatus comprises a body, a human-machine interface device, a small-width biometrics sensor and a processing module. The human-machine interface device is disposed on the body. The small-width biometrics sensor is disposed on the body. The processing module, disposed on the body and electrically connected to the small-width biometrics sensor and the human-machine interface device, cooperates with the human-machine interface device and the small-width biometrics sensor to guide different physical portions of a finger of a user to directly contact or approach the small-width biometrics sensor according to indications of the human-machine interface device, so that the small-width biometrics sensor senses the finger to capture partial physical patterns of the finger. A guiding method of the electronic apparatus is also disclosed.

Abstract: Embodiments of the invention relate to the visualization of geographical information and the combination of image information to generate geographical information. Specifically, embodiments of the invention relate to a process and system for correlating oblique images data and terrain data without extrinsic information about the oblique imagery. Embodiments include a visualization tool to allow simultaneous and coordinated viewing of the correlated imagery. The visualization tool may also provide distance and measuring, three-dimensional lens, structure identification, path finding, visibility and similar tools to allow a user to determine distance between imaged objects.

Abstract: A system for controlling effects performed on an image includes a digital camera having a display that displays the image. Masking tools position graphical representations on the display to define a portion of the image that is altered when the effects are subsequently applied to the image. The several masking tools may be combined to form a single masking tool.

Abstract: Methods and apparatuses are provided for restricting overlay of an augmentation. A method may include evaluating a feature space representation of an image for presence of a predefined feature pattern. The method may further include recognizing, based at least in part on the evaluating, that the predefined feature pattern is present in the feature space representation of the image. The method may additionally include, in response to recognizing that the predefined feature pattern is present in the feature space representation of the image, restricting overlay of an augmentation on a portion of the image corresponding to the recognized predefined feature pattern. Corresponding apparatuses are also provided.

Abstract: A computing device acquires a video of a tax document utilizing a video camera such as a webcam. The video is analyzed to detect a first motion of the tax document, such as sufficient shaking or movement of the tax document, satisfying first pre-determined criteria that results in the computing device being prompted or requested by the user to take an image of the tax document. After the first pre-determined criteria has been satisfied, the user is instructed to hold the tax document steady. Subsequent video frames are analyzed to detect a second motion or the tax document being sufficiently still or steady, in response to which an image of the tax document is acquired and processed to extract data of the tax document from the acquired image and populate corresponding fields of the electronic tax return.

Abstract: Techniques are disclosed for generating a modified image. A source image at an original, or high, resolution is downsampled to a lower resolution. One or more mappings between different patches, or regions, of pixels within the source image or across several images are generated from the downsampled image using a patch-based sampling algorithm. Such patch-based sampling algorithms may be used find correspondences between patches of one or more images by defining a nearest-neighbor field as a function of offsets for some distance function of the patches. The mapping is then upsampled to a higher resolution for coherent regions and used to identify fill content in the source image for filling patches in other portions of the image or other images. The fill content is derived from regions of the source image corresponding to the coordinates of the source patch in the upsampled mapping.

Abstract: Computer program products include program code readable/executable by one or more processors, and configured to cause the processor(s) to: receive an image of a part or all of a document selected from a group consisting of: a gift card, an invoice, a bill, a receipt, a sales order, an insurance claim, a medical insurance document, and a benefits document; perform optical character recognition (OCR) on the image; extract at least a partial address of a sender of the document; compare the at least partial address of the sender to a plurality of addresses in a first database; and identify one or more of: textual information specific to the sender; and data formatting specific to the sender. The code configured to cause the processor to receive the image, perform the OCR, extract and compare the (at least partial) address, and identify sender-specific information is preferably a processor of a mobile device.

Abstract: Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. An input HDR image is separated into luminance and color. Luminance is processed to obtain a base layer and a detail layer. The base layer is compressed according to a non-linear remapping function to reduce the dynamic range, and the detail layer is adjusted. The layers are combined to generate output luminance, and the output luminance and color are combined to generate an output image. A base layer compression technique may be used that analyzes the details and compresses the base layer accordingly to provide space at the top of the intensity scale where the details are displayed to thus generate output images that are visually better than images generated using conventional techniques. User interface elements may be provided via which a user may control one or more parameters of the tone mapping method.

Abstract: Methods, systems and computer readable media for object location using a mobile device are described. The method can include obtaining, at a mobile device, information about a missing object and obtaining, at the mobile device, information about a background surface. The method can also include detecting, using a motion sensor in the mobile device, movement of the mobile device, and acquiring, using one or more image sensors coupled to a processor in the mobile device, one or more images. The method can further include processing the one or more images to detect any candidate objects having a similarity within a given threshold to the missing object.

Abstract: An image processing device includes a first generating unit configured to generate smoothed image data including an edge portion by performing a smoothing process on original image data using an edge preserving smoothing filter; a second generating unit configured to generate first differential image data of a differential image between an image of the original image data and an image of the smoothed image data; a histogram generating unit configured to generate a differential histogram, which is a histogram of frequencies of difference values included in the first differential image data; a third generating unit configured to generate second differential image data by correcting the first differential image data using a correction amount, the correction amount for the first differential image data being calculated based on the differential histogram; and a synthesizing unit configured to synthesize the smoothed image data and the second differential image data.

Abstract: Some embodiments provide a computer program for performing a color matching operation. The computer program identifies first and second images. Each image includes several pixels. Each pixel includes a luma component value. Based on analysis of the luma component values of the pixels of the first and second images, the computer program determines a set of transforms to modify pixel values of the first image so that the pixel values of the first image are similar to pixel values of the second image. The computer program applies the set of transforms to the first image such that the pixel values of the first image are similar to the pixel values of the second image.

Abstract: A system and method for determining depth information of an object is provided. The system projects dots on an object and captures an image of the object with captured dots. The system identifies the captured dots based on a brightness of the captured dots and identifies coordinates of the captured dots. The system processes the captured image by removing brightness information of pixels outside of the captured dots. The system processes the captured dot by overlaying synthesized dot image on the captured dot. The system divides the processed captured image into captured sections and compares the captured sections to reference sections. The system selects individual reference sections having a highest correlation score for each of the captured sections and correlates a captured dot from each of the captured sections to a reference dot in respective corresponding reference sections. Depth information may be calculated based on coordinates of the captured dots and correlated reference dots.

Abstract: To determine if a pixel exhibits artifacts, statistics are generated for the pixel and its neighbors. These statistics are compared with thresholds. If the comparison of the statistics and the thresholds suggests that the pixel exhibits a pixel artifact, then recourse can be taken, either to adjust the pixel value in some way, or to reject the angle of interpolation used in computing the value for the target pixel.

Abstract: A method of processing digital video signals, comprising: receiving input pixels to be processed; performing multiple processing operations on the input pixels, where the multiple processing operations are performed during a time interval determined in part by a desired video output rate; and performing a classification analysis at an intermediate time during the time interval, the classification analysis yielding tag data that is used to dynamically vary one or more of the multiple processing operations, and where the tag data is generated on a per-pixel basis to enable pixel by pixel variation of the multiple processing operations.

Abstract: Among other things, one or more techniques and/or systems for combining a three-dimensional image of a target with a three-dimensional image of an object that is under examination via radiation to generate a three-dimensional synthetic image are provided. Although the target is not actually comprised within the object under examination, the three-dimensional synthetic image is intended to cause the target to appear to be comprised within the object. In one embodiment, one or more artifacts may be intentionally introduced into the three-dimensional synthetic image that are not comprised within the three-dimensional image of the target and/or within the three-dimensional image of the object to generate a synthetic image that more closely approximates in appearance a three-dimensional image that would have been generated from an examination had the target been comprised within the object.