Abstract: A method is disclosed for generating a three-dimensional (3D) model of a target object. The method includes obtaining one or more image capture settings and capturing, using the one or more image capture settings, a plurality of two-dimensional (2D) images each including at least a portion of a coded target and at least a portion of the target object. The method further includes transmitting the plurality of 2D images to a model generation server and generating, by the model generation server based on the plurality of 2D images, the 3D model of the target object and one or more model characteristics of the 3D model.

Abstract: A method is disclosed for generating a three-dimensional (3D) model of a target object. The method includes obtaining one or more image capture settings and capturing, using the one or more image capture settings, a plurality of two-dimensional (2D) images each including at least a portion of a coded target and at least a portion of the target object. The method further includes transmitting the plurality of 2D images to a model generation server and generating, by the model generation server based on the plurality of 2D images, the 3D model of the target object and one or more model characteristics of the 3D model.

Abstract: A method is provided for generating a status report including risk assessment based on Natural Language Processing (NLP). The method includes: receiving a task status that includes a line of text; parsing the line of text to generate a mark-up version of the line of text; calculating a sentence score of the mark-up version of the line of text; calculating an overall score of the task status based on the sentence score; storing the task status including the mark-up version of the line of text and the sentence and overall score; receiving a status report generation request that includes a search criteria; retrieving the task status and the sentence and overall scores associated with the search criteria; calculating a highlighting color of the task status based on the sentence score; and generating the status report including a highlighted task status based on the highlighting color and the task status.

Abstract: Methods disclosed permit the identification of frame buffer pixels for trapping. In some embodiments, flags associated with pixels in the frame buffer may be used to provide an indication of pixels for trapping. A first bit in a flag associated with a pixel may be set when the pixel is painted. In some embodiments, the method discloses a process for setting the value of a second bit in the flag to determine if the pixel associated with the flag lies on an object boundary. The pixel is identified as a candidate for trapping based on the value of the at least one flag.

Abstract: Methods consistent with some embodiments presented provide methods for identifying at least one pixel in a raster image buffer for inclusion in a processing space. In some embodiments of methods identifying at least one pixel in a raster image buffer for inclusion in a processing space may include analyzing a tag-field associated with the at least one pixel. The tag-field may identify object types associated with the pixel. In some embodiments, an action directive may be assigned to the pixel based on the value of the tag-field. In some embodiments, the pixel may be included in a processing space based on the action directive.

Abstract: Methods disclosed permit the identification of frame buffer pixels for trapping. In some embodiments, flags associated with pixels in the frame buffer may be used to provide an indication of pixels for trapping. A first bit in a flag associated with a pixel may be set when the pixel is painted. In some embodiments, the method discloses a process for setting the value of a second bit in the flag to determine if the pixel associated with the flag lies on an object boundary. The pixel is identified as a candidate for trapping based on the value of the at least one flag.

Abstract: Methods consistent with some embodiments presented provide methods for identifying at least one pixel in a raster image buffer for inclusion in a processing space. In some embodiments of methods identifying at least one pixel in a raster image buffer for inclusion in a processing space may include analyzing a tag-field associated with the at least one pixel. The tag-field may identify object types associated with the pixel. In some embodiments, an action directive may be assigned to the pixel based on the value of the tag-field. In some embodiments, the pixel may be included in a processing space based on the action directive.

Abstract: Systems and methods consistent with some embodiments presented provide methods for rendering print data. In some embodiments of methods for rendering print data comprising at least one compressed image object may include generating a display list by parsing the print data. The compressed image object may be identified in the display list by a reference to the at least one compressed image object. In some embodiments, the display list may be rasterized and converted to a bitmap. In some embodiments, the reference to the at least one compressed image object may be used to retrieve the at least one compressed image object. The retrieved compressed image object may be decoded and rasterized to generate a bitmap of the decoded image.