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Figure 8 shows three visual results of articulated shape retrieval.
Based on the deformability of the shape, there exist "Articulated Shape Retrieval (ASR)" and "Nonarticulated Shape Retrieval (NASR)".
This opens up the possibility of using methods originally designed for rigid shape retrieval for the task of non-rigid shape retrieval.
Many efforts have been taken to perform 3D shape retrieval recently.
Figures7 and9 show that a small number of Fourier descriptors is sufficient for shape retrieval.
Precision-recall curve is the most common metric to evaluate 3D shape retrieval system.
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Assigning meaning to words, sounds, and objects requires stored conceptual knowledge plus executive mechanisms that shape semantic retrieval according to the task or context.
This paper presents a novel hybrid relevance feedback (RF) system for shape-based retrieval of spine X-ray images.
Here we exploit a new interpretation of the control parameter, order vector, used in synergetic neural net (SNN) and use it as the basis of a similarity function for shape-based retrieval.
Among these 18 retrieval shapes, only two shapes do not belong to the spider class but the ant class.
Then we develop a discriminative shape descriptor for retrieval using many-to-one encoder.
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