Visionsense Ltd. Patent applications |
Patent application number | Title | Published |
20140364693 | PROXIMAL HIGH DEFINITION ENDOSCOPE - A stereoscopic endoscope pupil configuration for embedding in a stereoscopic endoscope, the shape of the cross section of the stereoscopic endoscope is a predetermined closed two-dimensional shape, the stereoscopic endoscope pupil configuration including at least two pupils, each of the at least two pupils having a shape covering a different unique portion of the two-dimensional closed shape, and together the at least two pupils substantially fully forming the two-dimensional closed shape. | 12-11-2014 |
20110285824 | METHOD FOR RECONSTRUCTING A THREE-DIMENSIONAL SURFACE OF AN OBJECT - Method for determining a disparity value of a disparity of each of a plurality of points on an object, the method including the procedures of detecting by a single image detector, a first image of the object through a first aperture, and a second image of the object through a second aperture, correcting the distortion of the first image, and the distortion of the second image, by applying an image distortion correction model to the first image and to the second image, respectively, thereby producing a first distortion-corrected image and a second distortion-corrected image, respectively, for each of a plurality of pixels in at least a portion of the first distortion-corrected image representing a selected one of the points, identifying a matching pixel in the second distortion-corrected image, and determining the disparity value according to the coordinates of each of the pixels and of the respective matching pixel. | 11-24-2011 |
20090022393 | Method for reconstructing a three-dimensional surface of an object - Method for determining a disparity value of a disparity of each of a plurality of points on an object, the method including the procedures of detecting by a single image detector, a first image of the object through a first aperture, and a second image of the object through a second aperture, correcting the distortion of the first image, and the distortion of the second image, by applying an image distortion correction model to the first image and to the second image, respectively, thereby producing a first distortion-corrected image and a second distortion-corrected image, respectively, for each of a plurality of pixels in at least a portion of the first distortion-corrected image representing a selected one of the points, identifying a matching pixel in the second distortion-corrected image, and determining the disparity value according to the coordinates of each of the pixels and of the respective matching pixel. | 01-22-2009 |