LEARNING 3D OBJECT-CENTRED APPEARANCE MODELS FOR TRACKING

LEARNING 3D OBJECT-CENTRED APPEARANCE MODELS FOR TRACKING
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学习以 3D 对象为中心的外观模型进行跟踪

DOI：
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
A. Worrall
A. Worrall
中科院分区：
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文献类型：
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作者：
J. Ferryman;A. Worrall

文献摘要

被引文献

相似文献

提出了一种用于三维物体识别的假设验证策略。该方法集成了计算机视觉中的3D以对象为中心和基于2D外观的表示，从而改进了假设验证。该方法被证明在现实世界的图像序列，从交通监控和基于边缘的标志性评价技术相比。
This paper presents a hypothesis verification strategy for 3D object recognition. This methodology integrates 3D object-centered and 2D appearance-based representations in computer vision which leads to improved hypothesis verification. The approach is demonstrated on real-world image sequences from traffic surveillance and compared to edge-based iconic evaluation techniques.