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Eigenspace Approach for Object Recognition and Its Pose Detection

机译:特征空间的物体识别及其姿态检测

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摘要

Range images are useful data in object recognition and pose detection. Most object recognition and pose de- tection techniques utilizing range images compare the geo- metrical features extracted from the range images to geometrical models. However, because of the difficulty in stabilizing feature extraction and the explosion in the matching combinations as the geometric models become complex, the subjects were restricted to geometrically sim- ple objects.
机译:距离图像是对象识别和姿势检测中的有用数据。大多数利用距离图像的物体识别和姿态检测技术会将从距离图像中提取的几何特征与几何模型进行比较。但是,由于难以稳定特征提取,并且随着几何模型变得复杂,匹配组合中的爆炸也越来越多,因此将对象限制在几何上简单的对象上。

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