Object-correspondence identification without full volume registration
AssigneeSiemens Corporate Research, Inc.
InventorsHong Shen, Jianzhong Qian, Li Fan
Life of this patent
Estimating the term…
Abstract
Disclosed is a method for object correspondence identification between two image sets, said method steps comprising roughly aligning the two image sets, receiving a selected point in said one image set, locating a rough matching point in said another image, defining a first volume-of-interest around said selected point, defining a search window around said matching point comprising a plurality of neighboring points, for every point in said search window, defining a second volume-of-interest, computing the similarity between each said second volume-of-interest with said first volume-of-interest, and selecting that second volume-of-interest that is most similar to said first volume-of-interest.
Claims18
A method for object correspondence identification between two image sets, comprising:
- receiving a selected point in said one image set;
- locating a rough matching point in said another image;
- defining a first volume-of-interest around said selected point;
- defining a search window around said matching point comprising a plurality of neighboring points;
- for every point in said search window, defining a second volume-of-interest;
- computing the similarity/dissimilarity between each said second volume-of-interest with said first volume-of-interest;
- and
- selecting that second volume-of-interest that is most similar to said first volume-of-interest.
A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform the method steps for object correspondence identification between two image sets, said method steps comprising:
- receiving a selected point in said one image set;
- locating a rough matching point in said another image;
- defining a first volume-of-interest around said selected point;
- defining a search window around said matching point, comprising a plurality of neighboring points;
- for every point in said search window, defining a second volume-of-interest;
- computing the similarity/dissimilarity between each said second volume-of-interest with said first volume-of-interest;
- and
- selecting that second volume-of-interest that is most similar to said first volume-of-interest.
Dependencies are inferred from the claim text.