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Photometric aspects: a new approach for 3D free form object recognition using a single luminance image

机译:光度方面:使用单个亮度图像进行3D自由形式对象识别的新方法

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3D free form object recognition is one of the most difficult problems in computer vision. In this paper we present a new approach which exploit only one luminance image of a complex object to recognize it in the scene by identifying its appearance in the input image. For that, we construct a photometric (non geometric) projective invariant to perform matching between local regions of the object in the image and those of the model. We propose an original method based on what we called "photometric aspects" to construct a discriminative data base of the 3D object model. We demonstrate the effectiveness of our approach while implementing it with complex free form objects and we present some obtained results.
机译:3D自由形式对象识别是计算机视觉中最困难的问题之一。在本文中,我们提出了一种新方法,该方法仅利用复杂对象的一个​​亮度图像通过识别输入图像中的外观来识别场景中的对象。为此,我们构造了一个光度(非几何)投影不变式,以执行图像中对象的局部区域与模型的局部区域之间的匹配。我们提出了一种基于所谓的“光度学方面”的原始方法来构造3D对象模型的判别数据库。我们在使用复杂的自由形式对象实施该方法时证明了该方法的有效性,并介绍了一些获得的结果。

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