Method and device for retrieving objects and method and device for verifying retrieval
A technology of objects and object images, which is applied in digital data information retrieval, still image data retrieval, image data processing, etc., can solve the problems of inability to effectively retrieve objects, low accuracy of retrieval results, and inability to express objects well Features and other issues
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Embodiment 1
[0106] This embodiment provides a method for object retrieval. The method retrieves an object image in a video by using local feature points of a specified area in an object image to be retrieved, and realizes object retrieval through a local area of the image. see figure 1 , the method flow provided by this embodiment is specifically as follows:
[0107] 101: Acquire the image of the object to be retrieved and a specified area in the image of the object to be retrieved, and calculate the local feature points of the specified area in the image of the object to be retrieved, where the specified area is a distinguishing area selected by the user through the GUI;
[0108] 102: Find an index matching the local feature points of the specified area in the pre-built index set, the index set is constructed according to the local feature points of the object image in the video;
[0109] Further, before searching the index matching the local feature points of the specified area in th...
Embodiment 2 Embodiment 3
[0153] Embodiment two
[0154] This embodiment provides a method for object retrieval, because when retrieving objects, the object image will contain some distinguishing local regions, and the local feature points can be used to detect and describe the local features in the image, therefore, In order to expand the application range of object retrieval, the method provided in this embodiment retrieves object images in video by using local feature points in a specified area of the object image to be retrieved, and realizes object retrieval through local regions of images. Combining the content of the first embodiment above, for the convenience of description, this embodiment takes local feature points as SIFT (Scale-Invariant Feature Transform, scale-invariant feature transform) points as an example for description. see image 3 , the method flow provided by this embodiment is specifically as follows:
[0155] 301: Obtain an object image in the video, and calculate the SIFT ...
Embodiment 4
[0213] This embodiment provides an object retrieval device, which is used to implement the object retrieval methods provided in the first and second embodiments above. see Figure 9 , the device consists of:
[0214] The first acquiring module 901 is configured to acquire the image of the object to be retrieved and the designated area of the image of the object to be retrieved, where the designated area is a distinguishing area selected by the user through the GUI;
[0215] A calculation module 902, configured to calculate local feature points of a designated area in the image of the object to be retrieved acquired by the first acquisition module 901;
[0216] A search module 903, configured to search for an index matching the local feature points of the designated area calculated by the calculation module 902 in the pre-built index set, the index set is constructed according to the local feature points of the object image in the video;
[0217] The second acquiring module...
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Abstract
Description
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Application Information
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