Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: The technology described herein employs techniques for overlaying (superimposing) translated text on top of (over) scanned text in realtime. The technology recognizes text in an image and identifies a first language in which the text is written. The technology translates the text into a second language and generates an overlay in the second language. The overlay is then inserted into the display over the text in the image.

Abstract: The technology described herein employs techniques for overlaying (superimposing) translated text on top of (over) scanned text in realtime. The technology recognizes text in an image and identifies a first language in which the text is written. The technology translates the text into a second language and generates an overlay in the second language. The overlay is then inserted into the display over the text in the image.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: Various embodiments related to entering text into a computing device via eye-typing are disclosed. For example, one embodiment provides a method that includes receiving a data set including a plurality of gaze samples, each gaze sample including a gaze location and a corresponding point in time. The method further comprises processing the plurality of gaze samples to determine one or more likely terms represented by the data set.

Abstract: The technology disclosed herein provides various embodiments for mapping glints that reflect off from an object to light sources responsible for the glints. Embodiments disclosed herein are able to correctly map glints to light sources by capturing just a few images with a camera. Each image is captured while illuminating the object with a different pattern of light sources. A glint free image may also be determined. A glint free image is one in which the glints have been removed by image processing techniques.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: 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.

Abstract: The technology disclosed herein provides various embodiments for mapping glints that reflect off from an object to light sources responsible for the glints. Embodiments disclosed herein are able to correctly map glints to light sources by capturing just a few images with a camera. Each image is captured while illuminating the object with a different pattern of light sources. A glint free image may also be determined. A glint free image is one in which the glints have been removed by image processing techniques.

Abstract: 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.

Abstract: Various embodiments related to entering text into a computing device via eye-typing are disclosed. For example, one embodiment provides a method that includes receiving a data set including a plurality of gaze samples, each gaze sample including a gaze location and a corresponding point in time. The method further comprises processing the plurality of gaze samples to determine one or more likely terms represented by the data set.

Abstract: Various embodiments related to entering text into a computing device via eye-typing are disclosed. For example, one embodiment provides a method that includes receiving a data set including a plurality of gaze samples, each gaze sample including a gaze location and a corresponding point in time. The method further comprises processing the plurality of gaze samples to determine one or more likely terms represented by the data set.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Various embodiments related to entering text into a computing device via eye-typing are disclosed. For example, one embodiment provides a method that includes receiving a data set including a plurality of gaze samples, each gaze sample including a gaze location and a corresponding point in time. The method further comprises processing the plurality of gaze samples to determine one or more likely terms represented by the data set.

Abstract: An image processing apparatus is provided that includes a character chopper component that segments words into individual characters in a bitmap of a textual image undergoing an OCR process. The Character chopper component is configured to produce a set of (possibly curved) chop-lines which divide a bitmap of any given word into its individual character or glyph candidates. Cases where an input bitmap contains two separate words are handled by marking a place where those words should be split. The character segmentation algorithm computes the set of vertically oriented, curved chop-lines by considering glyph and background colors in a given word bitmap. The set is filtered afterwards using various heuristics, in order to preserve those lines that indeed do separate a word's glyphs and minimize the number of those that do not.

Abstract: A method for enhancing a textual image for undergoing optical character recognition begins by receiving an image that includes native lines of text. A background line profile is determined which represents an average background intensity along the native lines in the image. Likewise, a foreground line profile is determined which represents an average foreground background intensity along the native lines in the image. The pixels in the image are assigned to either a background or foreground portion of the image based at least in part on the background line profile and the foreground line profile. The intensity of the pixels designated to the background portion of the image is adjusted to a maximum brightness so as to represent a portion of the image that does not include text.