37 results about "Contour set" patented technology

A method, apparatus, article of manufacture, and computer readable storage medium provide the ability to update a fill region of a computer drawing. A topological recipe representing the fill region is defined. The recipe includes a region set (of regions to be filled where the regions are areas bound by contours), a contour set (of contours that are a chain of curve segments), and curve segments. A final fill area of the fill region based on the topological recipe is computed. The final fill area is displayed and the curve segments are then modified. In response to the modification of the curve segments, the final fill area is dynamically updated and displayed.

A method and a system for localizing at least one circular object in a video frame captured by an image capture unit are disclosed. The method includes the steps of: A. performing edge detection to obtain a plurality of image edge points in the video frame; B. extracting a contour set of image contours by linking neighboring edge points; C. generating a plurality of circle samples from the extracted contour set by a structural sampling process; and D. localizing the at least one circular object from the generated circle samples by calculating a respective fitness score for each of the circle samples to measure the supporting evidence of the image edge points on a neighborhood of each of the circle samples, and by choosing the circle sample(s) whose fitness score(s) is / are greater than a threshold value as the circular object(s) found in the video frame.

The invention discloses a three-dimensional model search method based on mesh segmentation. The method comprises the following step of analyzing and constructing a segmentation field through a hierarchical spectrum, and particularly comprises the steps of judgment of concave vertexes, constructing of a Laplacian matrix, matrix decomposition, selection of low-frequency feature vectors, generation of sub feature vectors, weight calculation of the sub feature vectors, and constructing of an edge symbol matrix. Contour lines are sampled in the segmentation field and are grouped and merged through a grouping-merging algorithm to obtain a plurality of candidate contour sets, the final segmentation boundary is determined according to the weight of each contour line in the candidate contour sets, and three-dimensional models are automatically segmented. Three-dimensional model mixing feature description sub-matrixes are obtained by calculating the feature description sub-matrix of each segmentation block of the three-dimensional models, the similarity of the mixing feature description sub-matrixes of each three-dimensional model in a three-dimensional model database to be searched and a target three-dimensional model to be searched is calculated, the similarity values of the three-dimensional models are ranked and output from low to high, and the three-dimensional model searching is achieved.

The invention discloses a method for identifying pushing action based on a two-dimensional planar camera and a system. The method includes acquiring video images containing persons, and dividing hand detecting areas; realizing binarization processing for divided hands, and acquiring corresponding contours of the hands; comparing the contours of a divided current hand with a standard hand contour set in advance, and judging whether push action of the hand is performed; determining that the pushing action of the hand is performed when contour similarity is larger than a set threshold value T, extracting the hand area of the hand performing the pushing action, extracting the center of the minimum rectangle surrounding the contour of the hand, and creating a historical movement graph; and identifying the pushing action of the hand for the built historical movement graph by the aid of orientation gradient vectors. The method is simple in algorithm and high in action identification rate, and simultaneously burden on users in terms of memory is reduced.

The invention discloses a method and system for IHC digital preview image recognition and tissue foreground segmentation. The invention includes extracting a binary mask image M1 including tissue parts and impurity parts from an input IHC digital preview image; All connected domains in Figure M1 are divided into large-area connected domain contour sets q b and the set of small-area connected domain contours q s ;For large-area connected domain contour collection q b For each connected domain outline in , it is corresponding to the corresponding area in the original IHC digital preview image, the features of the corresponding area are extracted and the features are classified by the machine learning model to remove the connected domain outline of impurities and leave the connected domain outline of the organization . The invention can segment the foreground of the tissue from the IHC digital preview image with very light staining and the color of the foreground tissue is almost close to the background of the glass slide, and has the advantages of high recognition accuracy and good recognition effect.

The invention provides a method for identifying the boundary feature of a sampling point set on a physical surface based on the contour shape of a local sample projection, which belongs to the field of digital design and manufacturing, and is characterized in that: normal estimation is performed on each sample point in the sampling point set and all Add a mark to the sample point, through which it can be distinguished whether the sample point is a boundary sample point state or a non-boundary sample point state, and the marks of all sample points are initially set to the boundary sample point state; for each sample point in the sampling point set, if its If it is marked as a boundary sample point, then construct a local sample projection contour along the normal direction of the sample point, and verify whether the projection point along the normal direction of the sample point falls into the contour set formed by the concave and convex points of the local sample projection, if If it does not fall into the set, the mark of the sample point is modified to be a non-boundary point state, and the subset formed by the sample points marked as the state of the boundary sample point is output. The invention can quickly identify the boundary sample points of the object surface sampling point set.