Attributes and descriptors for building performance evaluation
نویسندگان
چکیده
منابع مشابه
Performance Evaluation of 3D Local Feature Descriptors
A number of 3D local feature descriptors have been proposed in literature. It is however, unclear which descriptors are more appropriate for a particular application. This paper compares nine popular local descriptors in the context of 3D shape retrieval, 3D object recognition, and 3D modeling. We first evaluate these descriptors on six popular datasets in terms of descriptiveness. We then test...
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Object recognition has become one of the most active research topics in computer vision in recent years. The set of features extracted from the training image is critical for good object recognition performance. The Scale Invariant Feature Transform (SIFT) was proposed by David Lowe in 1999; the SIFT features are local and effective for object recognition. In this paper we conducted a survey of...
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Local feature descriptors are widely used in many computer vision applications. Over the past couple of decades, several local feature descriptors have been proposed which are robust to challenging conditions. Since they show different characteristics in different environment, it is necessary to evaluate their performance in an intensive and consistent manner. However, there has been no relevan...
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Numerical analysis of Markovian models is relevant for performance evaluation and probabilistic analysis of systems’ behavior from several fields in science and engineering. These models can be represented in a compact fashion using Kronecker algebra. The Vector-Descriptor Product (VDP) is the key operation to obtain stationary and transient solutions of models represented by Kronecker-based de...
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In this paper we present a system to build synthetic graphical documents for the performance evaluation of symbol recognition systems. The key contribution of this work is the building of whole document like drawings or maps. We exploit the layer property of graphical documents by putting symbol sets in different ways from a same background using positioning constraints. Experiments are present...
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ژورنال
عنوان ژورنال: HBRC Journal
سال: 2017
ISSN: 1687-4048,1687-4048
DOI: 10.1016/j.hbrcj.2015.08.004