EDGE 3 TECHNOLOGIES, INC. Patent applications |
Patent application number | Title | Published |
20150332474 | Orthogonal and Collaborative Disparity Decomposition - A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object. | 11-19-2015 |
20150130803 | Near Touch Interaction with Structured Light - A near-touch interface is provided that utilizes stereo cameras and a series of targeted structured light tessellations, emanating from the screen as a light source and incident on objects in the field-of-view. After radial distortion from a series of wide-angle lenses is mitigated, a surface-based spatio-temporal stereo algorithm is utilized to estimate initial depth values. Once these values are calculated, a subsequent refinement step may be applied in which light source tessellations are used to flash a structure onto targeted components of the scene, where initial near-interaction disparity values have been calculated. The combination of a spherical stereo algorithm, and smoothing with structured light source tessellations, provides for a very reliable and fast near-field depth engine, and resolves issues that are associated with depth estimates for embedded solutions of this approach. | 05-14-2015 |
20140205183 | Method and Apparatus for Enhancing Stereo Vision Through Image Segmentation - A method and apparatus for segmenting an image are provided. The method may include the steps of clustering pixels from one of a plurality of images into one or more segments, determining one or more unstable segments changing by more than a predetermined threshold from a prior of the plurality of images, determining one or more segments transitioning from an unstable to a stable segment, determining depth for one or more of the one or more segments that have changed by more than the predetermined threshold, determining depth for one or more of the one or more transitioning segments, and combining the determined depth for the one or more unstable segments and the one or more transitioning segments with a predetermined depth of all segments changing less than the predetermined threshold from the prior of the plurality of images. | 07-24-2014 |
20140112577 | Method and Apparatus for Spawning Specialist Belief Propagation Networks - A method and apparatus for processing image data is provided. The method includes the steps of employing a main processing network for classifying one or more features of the image data, employing a monitor processing network for determining one or more confusing classifications of the image data, and spawning a specialist processing network to process image data associated with the one or more confusing classifications. | 04-24-2014 |
20140037192 | Apparatus and Method for Disparity Map Generation - A method and system for generating a disparity map. The method comprises the steps of generating a first disparity map based upon a first image and a second image acquired at a first time, acquiring at least a third image and a fourth image at a second time, and determining one or more portions comprising a difference between one of the first and second images and a corresponding one of the third and fourth images. A disparity map update is generated for the one or more determined portions, and a disparity map is generated based upon the third image and the fourth image by combining the disparity map update and the first disparity map. | 02-06-2014 |
20130259311 | Method and Apparatus for Spawning Specialist Belief Propagation Networks - A method and apparatus for processing image data is provided. The method includes the steps of employing a main processing network for classifying one or more features of the image data, employing a monitor processing network for determining one or more confusing classifications of the image data, and spawning a specialist processing network to process image data associated with the one or more confusing classifications. | 10-03-2013 |
20130150160 | Method and Apparatus for Tracking of a Plurality of Subjects in a Video Game - Method, computer program and system for tracking movement of a subject. The method includes receiving data from a distributed network of camera sensors employing one or more emitted light sources associated with one or more of the one or more camera sensors to generate a volumetric three-dimensional representation of the subject, identifying a plurality of clusters within the volumetric three-dimensional representation that correspond to motion features indicative of movement of the motion features of the subject, presenting one or more objects on one or more three dimensional display screens, and using the plurality of fixed position sensors to track motion of the motion features of the subject and track manipulation of the motion features of the volumetric three-dimensional representation to determine interaction of one or more of the motion features of the subject and one or more of the one or more objects on the three dimensional display. | 06-13-2013 |
20130150159 | Method and Apparatus for Tracking of a Subject in a Video Game - Method, computer program and system for tracking movement of a subject. The method includes receiving data from a distributed network of camera sensors employing one or more emitted light sources associated with one or more of the one or more camera sensors to generate a volumetric three-dimensional representation of the subject, identifying a plurality of clusters within the volumetric three-dimensional representation that correspond to motion features indicative of movement of the motion features of the subject, presenting one or more objects on one or more three dimensional display screens, and using the plurality of fixed position sensors to track motion of the motion features of the subject and track manipulation of the motion features of the volumetric three-dimensional representation to determine interaction of one or more of the motion features of the subject and one or more of the one or more objects on the three dimensional display. | 06-13-2013 |
20120319946 | METHOD AND SYSTEM FOR THREE DIMENSIONAL INTERACTION OF A SUBJECT - Method, computer program and system for tracking movement of a subject. The method includes receiving data from a distributed network of camera sensors employing one or more emitted light sources associated with one or more of the one or more camera sensors to generate a volumetric three-dimensional representation of the subject, identifying a plurality of clusters within the volumetric three-dimensional representation that correspond to motion features indicative of movement of the motion features of the subject, presenting one or more objects on one or more three dimensional display screens, and using the plurality of fixed position sensors to track motion of the motion features of the subject and track manipulation of the motion features of the volumetric three-dimensional representation to determine interaction of one or more of the motion features of the subject and one or more of the one or more objects on the three dimensional display. | 12-20-2012 |
20120293412 | METHOD AND SYSTEM FOR TRACKING OF A SUBJECT - Method, computer program and system for tracking movement of a subject. The method includes receiving data from a distributed network of camera sensors employing one or more emitted light sources associated with one or more of the one or more camera sensors to generate a volumetric three-dimensional representation of the subject, identifying a plurality of clusters within the volumetric three-dimensional representation that correspond to motion features indicative of movement of the motion features of the subject, presenting one or more objects on one or more three dimensional display screens, and using the plurality of fixed position sensors to track motion of the motion features of the subject and track manipulation of the motion features of the volumetric three-dimensional representation to determine interaction of one or more of the motion features of the subject and one or more of the one or more objects on the three dimensional display. | 11-22-2012 |
20120207388 | METHOD AND APPARATUS FOR DISPARITY COMPUTATION IN STEREO IMAGES - A method and system for generating a disparity map. The method comprises the steps of generating a first disparity map based upon a first image and a second image acquired at a first time, acquiring at least a third image and a fourth image at a second time, and determining one or more portions comprising a difference between one of the first and second images and a corresponding one of the third and fourth images. A disparity map update is generated for the one or more determined portions, and a disparity map is generated based upon the third image and the fourth image by combining the disparity map update and the first disparity map. | 08-16-2012 |
20120207383 | METHOD AND APPARATUS FOR PERFORMING SEGMENTATION OF AN IMAGE - A method and system for segmenting a plurality of images. The method comprises the steps of segmenting the image through a novel clustering technique that is, generating a composite depth map including temporally stable segments of the image as well as segments in subsequent images that have changed. These changes may be determined by determining one or more differences between the temporally stable depth map and segments included in one or more subsequent frames. Thereafter, the portions of the one or more subsequent frames that include segments including changes from their corresponding segments in the temporally stable depth map are processed and are combined with the segments from the temporally stable depth map to compute their associated disparities in one or more subsequent frames. The images may include a pair of stereo images acquired through a stereo camera system at a substantially similar time. | 08-16-2012 |
20120206573 | METHOD AND APPARATUS FOR DETERMINING DISPARITY OF TEXTURE - A method and system to determine the disparity associated with one or more textured regions of a plurality of images is presented. The method comprises the steps of breaking up the texture into its color primitives, further segmenting the textured object into any number of objects comprising such primitives, and then calculating a disparity of these objects. The textured objects emerge in the disparity domain, after having their disparity calculated. Accordingly, the method is further comprised of defining one or more textured regions in a first of a plurality of images, determining a corresponding one or more textured regions in a second of the plurality of images, segmenting the textured regions into their color primitives, and calculating a disparity between the first and second of the plurality of images in accordance with the segmented color primitives. | 08-16-2012 |
20120206458 | Near-Touch Interaction with a Stereo Camera Grid Structured Tessellations - A near-touch interface is provided that utilizes stereo cameras and a series of targeted structured light tessellations, emanating from the screen as a light source and incident on objects in the field-of-view. After radial distortion from a series of wide-angle lenses is mitigated, a surface-based spatio-temporal stereo algorithm is utilized to estimate initial depth values. Once these values are calculated, a subsequent refinement step may be applied in which light source tessellations are used to flash a structure onto targeted components of the scene, where initial near-interaction disparity values have been calculated. The combination of a spherical stereo algorithm, and smoothing with structured light source tessellations, provides for a very reliable and fast near-field depth engine, and resolves issues that are associated with depth estimates for embedded solutions of this approach. | 08-16-2012 |
20120194422 | METHOD AND SYSTEM FOR VISION-BASED INTERACTION IN A VIRTUAL ENVIRONMENT - Method, computer program and system for tracking movement of a subject. The method includes receiving data from a distributed network of camera sensors employing one or more emitted light sources associated with one or more of the one or more camera sensors to generate a volumetric three-dimensional representation of the subject, identifying a plurality of clusters within the volumetric three-dimensional representation that correspond to motion features indicative of movement of the motion features of the subject, presenting one or more objects on one or more three dimensional display screens, and using the plurality of fixed position sensors to track motion of the motion features of the subject and track manipulation of the motion features of the volumetric three-dimensional representation to determine interaction of one or more of the motion features of the subject and one or more of the one or more objects on the three dimensional display. | 08-02-2012 |
20120057779 | Method and Apparatus for Confusion Learning - A method and apparatus for processing image data is provided. The method includes the steps of employing a main processing network for classifying one or more features of the image data, employing a monitor processing network for determining one or more confusing classifications of the image data, and spawning a specialist processing network to process image data associated with the one or more confusing classifications. | 03-08-2012 |