Patent application number | Description | Published |
20110069180 | CAMERA-BASED SCANNING - Embodiments of camera-based scanning are described. In various embodiments, scanned documents can be created using images captured by a camera associated with a device. An image captured by the camera is processed to identify portions within the image that correspond to rectangular objects such as paper, business cards, whiteboards, screens, and so forth. One or more of these portions can be selected for scanning automatically based on a scoring scheme and/or semi-automatically with the aid of input from a user. One or more scanned documents are created from the selected portions by un-warping the selected portions to remove effects of perspective (e.g., rectify the portions to rectangles) and applying various image enhancements to improve appearance. | 03-24-2011 |
20110307535 | FREEFORM MATHEMATICAL COMPUTATIONS - Freeform mathematical computations are described. In implementations, an input is recognized as a freeform selection of an area of a user interface output by a computing device. Text is identified that is associated with the area defined by the freeform selection and that includes one or more numbers. A mathematical computation is performed that involves the one or more numbers. | 12-15-2011 |
20130070122 | Camera-Based Scanning - Embodiments of camera-based scanning are described. In various embodiments, one or more quadrangular objects are automatically selected from a captured image for scanning. The automatic selection is determined to be successful based on the selected quadrangular objects having an associated score that exceeds a predefined threshold. One or more scanned documents are created from portions of the captured image corresponding to the selected quadrangular objects, and the created scanned documents include corrections for perspective distortions of the selected quadrangular objects in the captured image. | 03-21-2013 |
Patent application number | Description | Published |
20140169668 | AUTOMATIC CLASSIFICATION AND COLOR ENHANCEMENT OF A MARKABLE SURFACE - Architecture that automatically computes if a quadrangular object captured in a given image is or is not a markable board (e.g., a whiteboard, green board, chalkboard, etc.). The markable board has a surface on which marks can be applied using chalk, ink, dry ink, or any other suitable marking instrument or tool for the given surface. The imaged quadrangular object can be defined as having a background image and a foreground image. The background image is representative of a markable board with no applied surface marks and the foreground image comprises all discernible marks applied to the board surface, but does not include the background image. A set of performance-friendly features is received and processed by a machine-learning classifier to compute if the given quadrangular object is a markable board. Thereafter, if the given image is determined to be a markable board, image enhancement is performed. | 06-19-2014 |
20140172408 | TEXT OVERLAY TECHNIQUES IN REALTIME TRANSLATION - Architecture that employs techniques for overlaying (superimposing) translated text on top of (over) scanned text in realtime translation to provide clear visual correlation between original text and translated text. Algorithms are provided that overlay text in cases of translated scanned text of language written in first direction to a language written in same direction, translate scanned text from a first language written in a first direction to a second language written in the opposite direction, and translated scanned text from a language written in a first direction to language written in a different direction. | 06-19-2014 |
20140376770 | STEREOSCOPIC OBJECT DETECTION LEVERAGING ASSUMED DISTANCE - A method of object detection includes receiving a first image taken by a first stereo camera, receiving a second image taken by a second stereo camera, and offsetting the first image relative to the second image by an offset distance selected such that each corresponding pixel of offset first and second images depict a same object locus if the object locus is at an assumed distance from the first and second stereo cameras. The method further includes locating a target object in the offset first and second images. | 12-25-2014 |
Patent application number | Description | Published |
20080260240 | User interface for inputting two-dimensional structure for recognition - In embodiments consistent with the subject matter of this disclosure, a user may input one or more strokes as digital ink to a processing device. The processing device may produce and present a recognition result, which may include a misrecognized portion. A user may indicate a desire to correct the misrecognized portion and may further select one or more strokes of the misrecognized portion. The processing device may then present the one or more recognition alternates corresponding to the selected one or more strokes of the misrecognized portion. In some embodiments, the processing device may permit a user to rewrite the selected one or more strokes of the misrecognized portion with newly entered digital ink. Features, such as, rewriting and correction of the input digital ink may be discoverable in some embodiments. | 10-23-2008 |
20080260251 | Recognition of mathematical expressions - In embodiments consistent with the subject matter of this disclosure, a user may input strokes as digital ink to a processing device. The processing device may partition the input strokes into multiple regions of strokes. A first recognizer and a second recognizer may score grammar objects included in regions and represented by chart entries. The scores may be converted to a converted score, which may have at least a near standard normal distribution. The processing device may present a recognition result based on highest converted scores according to a recurrence formula. The processing device may receive a correction hint with respect to misrecognized strokes and may add a penalty score with respect to chart entries representing grammar objects breaking the correction hint. Incremental recognition may be performed when a pause is detected during inputting of strokes. | 10-23-2008 |
20090304283 | CORRECTIONS FOR RECOGNIZERS - A processing device may recognize a number of input handwritten strokes, which may represent a mathematical expression, a chemical formula, or other two-dimensional structure. Rewriting rules of a grammar may be applied to the strokes to produce a number of possible recognition results. Each of the possible recognition results has a respective score based on a sum of rewriting rules applied to the strokes to produce respective ones of the possible recognition results. Input may be provided to identify misrecognized strokes and a correct terminal production, or symbol corresponding to the misrecognized strokes. Strokes may be misrecognized for many reasons, including parsing errors, over-grouping or under-grouping of matrices, and improper placement of a recognized terminal production, or symbol, with respect to a root structure. Correction hints may be leveraged for correcting types of errors mentioned above. | 12-10-2009 |