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This paper describes a method for object indexing and retrieval using a new feature descriptor called Partial Dominant Orientation Descriptor (PDOD). The extraction process of the PDOD starts by sampling the object into a set of stable and informative key locations using Difference of Gaussian (DoG), so that the retrieval can proceed successfully despite changes in object viewpoint, scale, illumination,...
The demand of virtual database in implementation process of the virtual university were discussed, and further focused on analyzing a large scale image database for the virtual university in the necessity of demand for image retrieval. On this basis, a vocabulary tree image retrieval algorithm is applied to the virtual universities. Vocabulary tree is an efficient search data structure based on visual-keywords...
This work aims at developing a scalable vision-based location recognition system where the backend database can be updated incrementally. Our proposed framework enables incremental indexing of vocabulary tree model, which efficiently includes new data into model refinement without re-generating entire model from overall dataset. An adaption trigger criterion is presented to lessen system computational...
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