Abstract: Certain examples described herein relate to a method for detecting a line in an image. In one such example, the method comprises identifying a candidate line break region in the image. Identifying the candidate line break region comprises identifying a first pixel of the image and a second pixel of the image, between which the candidate line break region appears, a characteristic of the first pixel and the second pixel having a predetermined similarity relationship. The method then comprises using the identified candidate line break region to assist in detecting a line in the image.

Abstract: There is provided a computer-implemented method of processing object detection data. The method includes receiving, from an object detection system, object detection data comprising a plurality of detection outputs associated with different respective regions of an image, wherein a first detection output of the plurality of detection outputs is associated with a first region of the image and comprises a plurality of received detection characteristics. The method includes processing the first detection output to determine one or more modified detection characteristics of said plurality of received detection characteristics. Processing the first detection output includes retrieving a mapping function and applying the mapping function, where the mapping is dependent upon at least one of the plurality of received detection characteristics.

Abstract: There is provided a method for automatically altering a digital video stream including multiple video input frames, to automatically obtain output frames with a target composition, in which frame metadata relating to objects in one or more of the video input frames is analyzed on a frame-by-frame basis and used by a processor to automatically alter one or more output frames to be more similar to, or to match, the target composition, wherein cropping is performed in 3D. A related system and a related computer program product are also provided.

Abstract: There is provided a computer-implemented method of processing object detection data. The method includes receiving, from an object detection system, object detection data comprising a plurality of detection outputs associated with different respective regions of an image, wherein a first detection output of the plurality of detection outputs is associated with a first region of the image and comprises a plurality of received detection characteristics. The method includes processing the first detection output to determine one or more modified detection characteristics of said plurality of received detection characteristics. Processing the first detection output includes retrieving a mapping function and applying the mapping function, where the mapping is dependent upon at least one of the plurality of received detection characteristics.

Abstract: Certain examples described herein relate to a method for detecting a tilt angle between a camera coordinate system and a world coordinate system. In one such example, the method comprises receiving an image and detecting a plurality of lines in the image, wherein each detected line has an associated angle. The method then comprises, based on at least a first set of the lines, determining at least a first parameter indicating a first representative angle corresponding to the first set. Finally, the method comprises determining the tilt angle based on the at least one parameter.

Abstract: Certain examples described herein relate to a method for detecting a line in an image. In one such example, the method comprises identifying a candidate line break region in the image. Identifying the candidate line break region comprises identifying a first pixel of the image and a second pixel of the image, between which the candidate line break region appears, a characteristic of the first pixel and the second pixel having a predetermined similarity relationship. The method then comprises using the identified candidate line break region to assist in detecting a line in the image.

Abstract: A computer vision process in which (i) a track record for one or more detected objects is created, the track record defining metadata or parameters for that detected object; and (ii) that track record is then linked to one or more higher-level track records for one or more higher-level objects.

Abstract: There is provided a method for estimating a distance of an object detected by an image sensor. Multiple detections are performed automatically to detect features of an object and to estimate the object proportions, which are then used to relate to additional measurements such as the distance of the object from the image sensor. The method detects human and non-human objects. The method uses available anthropometry tables. The method takes into account the image sensor optical aberrations such as lens distortion. A related system and a related computer program product are also provided.

Abstract: There is provided a method for automatically altering a digital video stream including multiple video input frames, to automatically obtain output frames with a target composition, in which frame metadata relating to objects in one or more of the video input frames is analyzed on a frame-by-frame basis and used by a processor to automatically alter one or more output frames to be more similar to, or to match, the target composition, wherein cropping is performed in 3D. A related system and a related computer program product are also provided.

Abstract: A method and apparatus are provided for compensating for the degradation of a print image due to a malfunctioning nozzle that irregularly ejects ink. A malfunctioning nozzle is detected among nozzles installed in an inkjet image forming apparatus, and image data of a print position adjacent to a compensation position printed by the malfunctioning nozzle is exchanged for image data of a print position in an interest or inspection region near the compensation position. Accordingly, degradation of print quality, such as, for example, an unintended visible white band, can be prevented and the lifetime of the printhead can be lengthened.

Abstract: A method and apparatus are provided for compensating for the degradation of a print image due to a malfunctioning nozzle that irregularly ejects ink. A malfunctioning nozzle is detected among nozzles installed in an inkjet image forming apparatus, and image data of a print position adjacent to a compensation position printed by the malfunctioning nozzle is exchanged for image data of a print position in an interest or inspection region near the compensation position. Accordingly, degradation of print quality, such as, for example, an unintended visible white band, can be prevented and the lifetime of the printhead can be lengthened.

Abstract: A method of firing, and an apparatus to fire, ink in an inkjet printer. The method includes receiving data to be printed, and firing the ink at different firing rates in sine wave shapes through multiple passes, according to the provided print data, wherein the data is printed by the ink fired in the sine wave shapes.

Abstract: A color correction method includes producing a device gamut boundary surface, performing a gamut mapping process, and performing a color inverse transformation process. The device gamut boundary surface in a device independent color space is defined by a set of gamut descriptors. A gamut mapping direction is determined in consideration of the size of a gamut to be mapped. A target color space value and a source color space value are expressed in a device dependent color space. A color inverse transformation is provided by using linear interpolation in a triangle in a two-dimensional space. Triangles are formed by a Delaunay triangulation algorithm.