Abstract: A method for driving-related object detection, the method may include receiving an input image by an input of an object detector; and detecting, by an object detector, objects that appear in the input image. The detecting includes searching for (i) a first object having a first size that is within a first size range and belongs to a four wheel vehicle class, (ii) a second object having a second size that is within a second size range and belongs to a subclass out of multiple four wheel vehicle subclasses, (iii) a pedestrian, and (iv) a two wheel vehicle; wherein a maximum of the first size range does not substantially exceed a minimum of the second size range.

Abstract: An image processing method includes: generating, from combined connected components (CCs) of a document image, candidate text CCs, candidate background CCs, and candidate natural image CCs where the candidate background CCs are excluded from the combined CCs to generate the candidate natural image CCs with a predetermined criterion dependent on the candidate text CCs; generating a final natural image bounding box by expanding a candidate natural image bounding box of the candidate natural image CCs and including in the expanded candidate natural image bounding box at least one combined CC that intersects the expanded candidate natural image bounding box; and modifying, based on the final natural image bounding box, the document image and displaying the modified document image to a user.

Abstract: An image processing apparatus, an image processing method, and an image processing program capable of selecting an image having common characteristics with a previously selected image, and a recording medium storing the program are provided. In a case where an image of a child and a father captured together is included in common in a first image selected from a first image group and a second image selected from a second image group, a speech balloon 200 for notifying a user to select such an image IR1 from a target image group is displayed on a display panel 21 of a smartphone. In a case where the user selects the image IR1 of the child and the father captured together, common characteristics with a previously selected image are maintained.

Abstract: The present disclosure relates to a method for performing simultaneous localization and mapping (SLAM) with respect to a salient object in an image, a robot and a cloud server for implementing such method. According to an embodiment of the present disclosure, a robot includes a camera sensor configured to capture one or more images for the robot to perform the SLAM with respect to a salient object for estimating a location of the robot within the space, a map storage configured to store the information for the robot to perform the SLAM, and a controller that is configured to: detect an object from the captured image; select, as a specific salient object for identifying the space, the detected object verified as corresponding to the specific salient object; and store, in the map storage, the selected specific salient object and coordinate information related to the selected specific salient object.

Abstract: A method at a server for container location verification within a container yard, the method including requesting image data from at least one image sensor apparatus affixed to a container within the container yard; receiving the image data; and processing the image data to identify a location of a target container.

Abstract: A method includes determining, by a portable device, image capturing conditions based on an analysis of contents of a first digital image of a group of digital images captured by an image capturing device, and determining, by the portable device, whether the image capturing conditions determined for the first digital image indicate outdoor image capturing conditions. Based at least in part on a determination that the image capturing conditions determined for the first digital image indicate outdoor image capturing conditions, displaying a first indication that the first digital image must be captured in indoor image capturing conditions for an iris code enrollment process, and displaying a second indication of resumption of the iris code enrollment process when the image capturing conditions, determined for the first digital image, indicate the indoor image capturing conditions.

Abstract: An apparatus for providing an around view comprises: first and second cameras for acquiring first and second image information; and a processor. The processor can generate an around view image including a first area including a subject overlapping area and a second area excluding the subject overlapping area, on the basis of first and second images. The subject overlapping area is disposed between first and second boundary lines in the first and second images. The first boundary line is located in the first area, and the second boundary line adjoins the second area. If it is predicted that a first object will pass through the second boundary line due to the first object approaching within a predetermined distance thereto, the processor can generate an around view image in which the second area is changed so that the second area includes the subject overlapping area.

Abstract: In an example, an apparatus comprises processing circuitry, the processing circuitry comprising: memory, to store a two-dimensional pixel representation of a layer of an object to be made in an additive manufacturing process and pixel information, the pixel information specifying pixels representing a surface of the object and colour for the pixels representing the surface; and an image processor, to generate a downscaled representation of the layer and to process the downscaled representation to propagate colour from pixels representing the surface of the object in the downscaled representation to neighbouring pixels representing an interior of the object in the downscaled representation.

Abstract: The invention provides for a means of aligning a first virtual object with a second virtual object that is different from the first virtual object within a scene volume in a 3D virtual space. The method includes performing a 3D scan of the user's head to get the first virtual object. The second virtual object comprises a 3D model of a mask. The method further determining a location of a first surface point on a surface of the first virtual object based on a first ray casting of the first virtual object, and determining a location of a second surface point on a surface of the second virtual object based on a second ray casting of the second virtual object. The second surface point has a desired positional relationship with respect to the first surface point. The first ray casting originates from outside the scene volume and the second ray casting originates from inside the scene volume.

Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.

Abstract: Aspects of the present disclosure include methods for generating a sampled profile including a plurality of sampling points having a plurality of characteristic values associated with the detected non-visible light, identifying one or more macroblocks each includes a subset of the plurality of sampling points, calculating a number of occurrences of the local pattern value within each subset of the plurality of the sampling points for each of the one or more macroblocks, generating a first array including a plurality of weighted values by calculating the plurality of weighted values based on the numbers of occurrences of the local pattern value and corresponding sizes of the one or more macroblocks, assigning a unique index to each of the plurality of weighted values, generating a second array of the unique index by ranking the plurality of weighted values, and generating a third array including a plurality of ranking distances.

Abstract: An inspection device includes: an analyzer to calculate a parameter representing a feature of image data of an object having no defect by performing dimensionality reduction on the image data, and perform dimensionality reduction on image data of an object to be inspected by using the parameter; a restorer to generate restored data obtained by restoring the image data of the object to be inspected subjected to the dimensionality reduction; a corrector to filter the restored data by using a filter for correcting an error between the restored data and the image data of the object to be inspected, thereby generating corrected restored data; a determiner to output a determination result indicating whether the object to be inspected is defective, based on a difference of each pixel between the image data of the object to be inspected and the corrected restored data; and an interface to output the determination result.

Abstract: A circuitry for image demosaicing and contrast enhancement and an image-processing method thereof are provided. The circuitry includes a storage device that is used to temporarily store an image and is jointly used by circuits that perform color restoration and brightness reconstruction. The circuitry includes a color restoration circuit for performing image interpolation and a global mapping circuit that performs mapping to obtain brightness of an image according to restored red, green and blue information of every pixel. Further, an edge texture feature decision circuit is provided to obtain each pixel's directionality for color restoration. A brightness estimation circuit utilizes green information of the pixels as the brightness for an area. After that, a color image with the color restoration and brightness reconstruction is outputted.

Abstract: A method and a system for determining an orthodontic treatment for a plurality of teeth of a subject are provided. The method comprises: receiving a 3D representation of a first tooth and a second tooth, adjacent thereto, of the subject, of a plurality of teeth of the subject; obtaining a tooth-gingiva segmentation loop; identifying an outer set of vertices positioned outside the tooth-gingiva segmentation loop and an inner set of vertices positioned inside the tooth-gingiva segmentation loop; generating a first interdental loop extending, along the 3D representation, through a given inner vertex and a given outer vertex, such that: the first interdental loop is at least partially indicative of an interdental boundary between the first tooth and the second tooth; and the first interdental loop intersects the tooth-gingiva segmentation loop; and generating the first tooth 3D representation based on the tooth-gingiva segmentation loop and the first interdental loop.

Abstract: In one aspect, a system for determining soil clod size distribution as an agricultural implement is being towed across a field by a work vehicle may include a vision-based sensor provided in operative association with one of the work vehicle or the agricultural implement. As such, the vision-based sensor may be configured to capture vision data associated with a portion of the field present within a field of view of the vision-based sensor. Furthermore, the system may include a controller configured to receive vision data from the vision-based sensor. Moreover, the controller may be further configured to analyze the received vision data using a spectral analysis technique to determine a size distribution of soil clods present within the field of view of the vision-based sensor.

Abstract: A dam slope deformation monitoring system and method are provided. The monitoring system monitors an entire dam in a reservoir area by using an unmanned aerial vehicle (UAV) photogrammetry system, and determines an encrypted monitoring area (steep slope) with the relatively large deformation and a relatively large digital elevation difference; determines, in the intensive monitoring area, a first level key monitoring area with the larger deformation by using a ground-based radar interferometry measurement system; determines, in the first level key monitoring area, a second level key monitoring area with the larger deformation by using a ground-based three-dimensional lidar measurement system; determines, in the second level key monitoring area, a key monitoring particle with a high deformation speed by using a global navigation satellite system (GNSS). The core chip stack is used to monitor and warn the collapse process in the area where the key monitoring particles are located.

Abstract: An image processing apparatus includes an acquisition unit that acquires three-dimensional data of dentition including a plurality of teeth in an oral cavity, a generator that generates multi-image data of a plurality of images different in point of view toward the dentition based on the three-dimensional data acquired by the acquisition unit, and an output unit that outputs the multi-image data generated by the generator to a display.

Abstract: Aspects of the present disclosure include methods for generating a heatmap including a plurality of sampling points having a plurality of characteristic values associated with the detected non-visible light, identifying one or more macroblocks each includes a subset of the plurality of sampling points, calculating a number of occurrences of the local pattern value within each subset of the plurality of the sampling points for each of the one or more macroblocks, generating a first array including a plurality of weighted values by calculating the plurality of weighted values based on the numbers of occurrences of the local pattern value and corresponding sizes of the one or more macroblocks, assigning a unique index to each of the plurality of weighted values, generating a second array of the unique index by ranking the plurality of weighted values, and generating a third array including a plurality of ranking distances.

Abstract: The present disclosure is generally directed to systems and methods for executing optical character recognition faster than at least some traditional OCR systems, without sacrificing recognition accuracy. Towards this end, various exemplary embodiments involve the use of a bounding box and a grid-based template to identify certain unique aspects of each of various characters and/or numerals. For example, in one embodiment, the grid-based template can be used to recognize a numeral and/or a character based on a difference in centerline height between the numeral and the character when a monospaced font is used. In another exemplary embodiment, the grid-based template can be used to recognize an individual digit among a plurality of digits based on certain parts of the individual digit being uniquely located in specific portions of the grid-based template.

Abstract: A tracking control method includes obtaining a tracking parameter of a target object. The tracking control method also includes determining a characteristic part of the target object based on the tracking parameter. The tracking control method further includes tracking the target object based on the characteristic part.