IEEE Trans Image Process - Angular pattern and binary angular pattern for shape retrieval.

Tópicos

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Resumo

In this paper, we propose two novel shape descriptors, angular pattern (AP) and binary angular pattern (BAP), and a multiscale integration of them for shape retrieval. Both AP and BAP are intrinsically invariant to scale and rotation. More importantly, being global shape descriptors, the proposed shape descriptors are computationally very efficient, while possessing similar discriminability as state-of-the-art local descriptors. As a result, the proposed approach is attractive for real world shape retrieval applications. The experiments on the widely used MPEG-7 and TARI-1000 data sets demonstrate the effectiveness of the proposed method in comparison with existing methods.

Resumo Limpo

paper propos two novel shape descriptor angular pattern ap binari angular pattern bap multiscal integr shape retriev ap bap intrins invari scale rotat import global shape descriptor propos shape descriptor comput effici possess similar discrimin stateoftheart local descriptor result propos approach attract real world shape retriev applic experi wide use mpeg tari data set demonstr effect propos method comparison exist method

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