Patent application number | Description | Published |
20130016913 | IMAGE PROCESSING METHOD AND SYSTEMAANM Pham; Minh-TriAACI CambridgeAACO GBAAGP Pham; Minh-Tri Cambridge GBAANM Woodford; OliverAACI CambridgeAACO GBAAGP Woodford; Oliver Cambridge GBAANM Perbet; FrankAACI CambridgeAACO GBAAGP Perbet; Frank Cambridge GBAANM Maki; AtsutoAACI CambridgeAACO GBAAGP Maki; Atsuto Cambridge GBAANM Stenger; BjornAACI CambridgeAACO GBAAGP Stenger; Bjorn Cambridge GBAANM Cipolla; RobertoAACI CambridgeAACO GBAAGP Cipolla; Roberto Cambridge GB - A method of comparing two object poses, wherein each object pose is expressed in terms of position, orientation and scale with respect to a common coordinate system, the method comprising: | 01-17-2013 |
20140125773 | IMAGE PROCESSING METHODS AND APPARATUS - A method of calculating a similarity measure between first and second image patches, which include respective first and second intensity values associated with respective elements of the first and second image patches, and which have a corresponding size and shape such that each element of the first image patch corresponds to an element on the second image patch. The method: determines a set of sub-regions on the second image patch corresponding to elements of the first image patch and having first intensity values within a range defined for that sub-region; calculates variance, for each sub-region of the set over all of the elements of that sub-region, of a function of the second intensity value associated with that element and the first intensity value associated with the corresponding element of the first image patch; and calculates similarity measure as the sum over all sub-regions of the calculated variances. | 05-08-2014 |
20140375635 | METHODS AND SYSTEMS FOR GENERATING A THREE DIMENSIONAL REPRESENTATION OF A SUBJECT - According to one embodiment, a method of generating a three dimensional representation of a subject from a depth image, comprises comparing a depth image of the subject with a plurality of representative images, wherein each representative image is associated with a respective parametric model of a subject; identifying a representative image of the plurality of representative images as a closest representative image to the depth image of the subject; selecting the parametric model associated with the closest representative image to the depth image; and generating a three dimensional representation of the subject by fitting the selected parametric model to the depth image of the subject. | 12-25-2014 |
20150036918 | IMAGE PROCESSING METHOD AND SYSTEM - A method of comparing two object poses, wherein each object pose is expressed in terms of position, orientation and scale with respect to a common coordinate system, the method comprising:
| 02-05-2015 |
20150254527 | METHODS FOR 3D OBJECT RECOGNITION AND REGISTRATION - A method for comparing a plurality of objects, the method comprising representing at least one feature of each object as a 3D ball representation, the radius of each ball representing the scale of the feature in the with respect to the frame of the object, the position of each ball representing the translation the feature in the frame of the object, the method further comprising comparing the objects by comparing the scale and translation as represented by the 3D balls to determine similarity between objects and their poses. | 09-10-2015 |
20160027208 | IMAGE ANALYSIS METHOD - A method for analysing a point cloud, the method comprising:
| 01-28-2016 |
20160117859 | METHOD AND SYSTEMS FOR GENERATING A THREE DIMENSIONAL MODEL OF A SUBJECT - In one embodiment a method of generating a three dimensional model of a subject is disclosed. The method comprises receiving point cloud data for a subject; receiving user inputs indicating a plurality of cubes, and a grouping of the cubes into a plurality of blocks to form a representation of a class of subjects; generating a first mesh comprising a plurality of quadrilaterals by subdividing patches corresponding to faces of blocks of the plurality of blocks; fitting the first mesh to the point cloud data to generate a fitted mesh; iteratively generating further meshes, each comprising a plurality of quadrilaterals by subdividing patches of the fitted mesh from the previous iteration and fitting the further mesh to the point cloud data; and outputting as the three dimensional model of the subject the iteratively generated fitted mesh. | 04-28-2016 |