Class / Patent application number | Description | Number of patent applications / Date published |
382204000 | Topological properties (e.g., number of holes in a pattern, connectivity, etc.) | 6 |
20090028438 | Apparatus for Single Pass Blob Image Analysis - A method and electronics circuit for processing very high resolution images or very high frame rate images in real time. Each pixel within a frame of pixels is compared to the neighboring pixels within the frame to determine if the pixel is part of a blob group. If the pixel is part of the blob group, the characteristics of the pixel are added to the statistics for the blob group. When a pixel overlaps two target blob groups, the two blob groups are combined to form one blob group. When the end of the frame is reached information about the blob groups in the frame is made available. | 01-29-2009 |
20090175543 | Information Processing Device and Information Processing Method, Image Processing Device and Image Processing Method, and Computer Program - To perform progressive mesh segmentation suitable of interactive applications a high speed with high precision. | 07-09-2009 |
20090257660 | Shape determination of objects with surface matching - A method for inspecting component surfaces by a scanning test system, with the activation of the test system taking place such that, based on a known region of the component surface, an estimation of the component shape is performed, the estimation at the edge of the known region is drawn up at least for one part of the edge, this estimation is used for the calculation of the path for the scanning system, the inspection during scanning is implemented along this path and the deviation from the true component shape is measured so that the exact shape of the component is known along this path. | 10-15-2009 |
20120213444 | SYSTEM AND METHOD FOR VISUAL RECOGNITION - A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons. | 08-23-2012 |
20140093178 | REDUCING MEMORY BANDWIDTH CONSUMPTION WHEN EXECUTING A PROGRAM THAT USES INTEGRAL IMAGES - Methods and apparatuses to reduce memory bandwidth consumption when executing a program that uses integral images are provided. A first integral image representation of a grayscale image may be computed using a first number of bits per pixel. A second integral image representation of the grayscale image may be computed using a second number of bits per pixel. Additionally, an image processing algorithm may be executed on the grayscale image, wherein the size of a rectangle to be used by the image processing algorithm can be determined. Based on the size of the rectangle to be used by the image processing algorithm, it may be determined whether to use the first integral image representation or second integral image representation for the image processing algorithm. | 04-03-2014 |
20150098659 | METHOD AND APPARATUS FOR IMAGE RETRIEVAL - An efficient image retrieval method utilizing topological order distance (TOD) algorithm is disclosed. In one aspect, an image recognition method may include steps of receiving one or more input images; extracting one or more key features on the input images; determining an origin and one or more feature points on the key features on the input images; establishing a topological relationship in each dimension between the feature points on the key features; and utilizing the topological relationship in each dimension between the feature points to identify the input images in an image database. Comparing with the conventional image retrieval techniques, the TOD algorithm is advantageous because it is more efficient, scale and rotation invariant, and tolerant to affine and perspective transformation. | 04-09-2015 |