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11975 results about "Region of interest" patented technology

A region of interest (often abbreviated ROI), are samples within a data set identified for a particular purpose. The concept of a ROI is commonly used in many application areas. For example, in medical imaging, the boundaries of a tumor may be defined on an image or in a volume, for the purpose of measuring its size. The endocardial border may be defined on an image, perhaps during different phases of the cardiac cycle, for example, end-systole and end-diastole, for the purpose of assessing cardiac function. In geographical information systems (GIS), a ROI can be taken literally as a polygonal selection from a 2D map. In computer vision and optical character recognition, the ROI defines the borders of an object under consideration. In many applications, symbolic (textual) labels are added to a ROI, to describe its content in a compact manner. Within a ROI may lie individual points of interest (POIs).

Method and apparatus for calibration-free eye tracking

A system and method for eye gaze tracking in human or animal subjects without calibration of cameras, specific measurements of eye geometries or the tracking of a cursor image on a screen by the subject through a known trajectory. The preferred embodiment includes one uncalibrated camera for acquiring video images of the subject's eye(s) and optionally having an on-axis illuminator, and a surface, object, or visual scene with embedded off-axis illuminator markers. The off-axis markers are reflected on the corneal surface of the subject's eyes as glints. The glints indicate the distance between the point of gaze in the surface, object, or visual scene and the corresponding marker on the surface, object, or visual scene. The marker that causes a glint to appear in the center of the subject's pupil is determined to be located on the line of regard of the subject's eye, and to intersect with the point of gaze. Point of gaze on the surface, object, or visual scene is calculated as follows. First, by determining which marker glints, as provided by the corneal reflections of the markers, are closest to the center of the pupil in either or both of the subject's eyes. This subset of glints forms a region of interest (ROI). Second, by determining the gaze vector (relative angular or Cartesian distance to the pupil center) for each of the glints in the ROI. Third, by relating each glint in the ROI to the location or identification (ID) of a corresponding marker on the surface, object, or visual scene observed by the eyes. Fourth, by interpolating the known locations of each these markers on the surface, object, or visual scene, according to the relative angular distance of their corresponding glints to the pupil center.
Owner:CHENG DANIEL +3

Method and apparatus for calibration-free eye tracking using multiple glints or surface reflections

A system and method for eye gaze tracking in human or animal subjects without calibration of cameras, specific measurements of eye geometries or the tracking of a cursor image on a screen by the subject through a known trajectory. The preferred embodiment includes one uncalibrated camera for acquiring video images of the subject's eye(s) and optionally having an on-axis illuminator, and a surface, object, or visual scene with embedded off-axis illuminator markers. The off-axis markers are reflected on the corneal surface of the subject's eyes as glints. The glints indicate the distance between the point of gaze in the surface, object, or visual scene and the corresponding marker on the surface, object, or visual scene. The marker that causes a glint to appear in the center of the subject's pupil is determined to be located on the line of regard of the subject's eye, and to intersect with the point of gaze. Point of gaze on the surface, object, or visual scene is calculated as follows. First, by determining which marker glints, as provided by the corneal reflections of the markers, are closest to the center of the pupil in either or both of the subject's eyes. This subset of glints forms a region of interest (ROI). Second, by determining the gaze vector (relative angular or cartesian distance to the pupil center) for each of the glints in the ROI. Third, by relating each glint in the ROI to the location or identification (ID) of a corresponding marker on the surface, object, or visual scene observed by the eyes. Fourth, by interpolating the known locations of each these markers on the surface, object, or visual scene, according to the relative angular distance of their corresponding glints to the pupil center.
Owner:CHENG DANIEL +3

System and method for servoing robots based upon workpieces with fiducial marks using machine vision

A system and method for servoing robot marks using fiducial marks and machine vision provides a machine vision system having a machine vision search tool that is adapted to register a pattern, namely a trained fiducial mark, that is transformed by at least two translational degrees and at least one mon-translational degree of freedom. The fiducial is provided to workpiece carried by an end effector of a robot operating within a work area. When the workpiece enters an area of interest within a field of view of a camera of the machine vision system, the fiducial is recognized by the tool based upon a previously trained and calibrated stored image within the tool. The location of the work-piece is derived by the machine vision system based upon the viewed location of the fiducial. The location of the found fiducial is compared with that of a desired location for the fiducial. The desired location can be based upon a standard or desired position of the workpiece. If a difference between location of the found fiducial and the desired location exists, the difference is calculated with respect to each of the translational axes and the rotation. The difference can then be further transformed into robot-based coordinates to the robot controller, and workpiece movement is adjusted based upon the difference. Fiducial location and adjustment continues until the workpiece is located the desired position with minimum error.
Owner:COGNEX TECH & INVESTMENT

Systems and methods for adjusting lighting of a part based on a plurality of selected regions of an image of the part

The lighting behavior of a vision system is inconsistent between vision systems, within a vision system over time or between parts being viewed. This inconsistency makes it difficult to correctly run part programs even within a single run of parts on a single machine. The multi area image quality tool systems, methods and graphical user interfaces adjust the light intensity of a vision system to obtain a desired image quality or characteristic of a captured image. The multi area image quality tool is used to define a plurality of regions of interest within a captured image to be used to determine the image quality or characteristic of the captured image resulting from a current illumination level. The multi area image quality tool allows a user to easily and quickly define multiple regions of interest that can be used to determine the image quality of a captured image. The multi area image quality tool allows the user to specify the location, orientation and size of two or more regions of interest around a critical feature of the captured image, and to specify the light sources to be used to illuminate the part, the image quality to be measured, and a range of acceptable values for that image quality. Portions of the image are extracted based on the defined regions of interest. The image quality of the captured image is determined based on an analysis of the regions of interest and the image quality defined in the multi area image quality tool.
Owner:MITUTOYO CORP
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