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Joint compatibility branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneous localization and mapping. JCBB measures the joint compatibility of a set of pairings that successfully rejects spurious matchings and is hence known to be robust in complex environments.

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  • Joint compatibility branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneous localization and mapping. JCBB measures the joint compatibility of a set of pairings that successfully rejects spurious matchings and is hence known to be robust in complex environments. (en)
  • 联合相容分枝定界(英語:Joint Compatibility Branch and Bound,简称JCBB), 是计算机视觉和机器人研究中在时经常使用的一种算法。 JCBB算法通过比较一对数据的联合相容性,可以比较成功的判别虚假的配对,因此在比较复杂的数据中可以比较能够体现出它的鲁棒性。 (zh)
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  • Joint compatibility branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneous localization and mapping. JCBB measures the joint compatibility of a set of pairings that successfully rejects spurious matchings and is hence known to be robust in complex environments. (en)
  • 联合相容分枝定界(英語:Joint Compatibility Branch and Bound,简称JCBB), 是计算机视觉和机器人研究中在时经常使用的一种算法。 JCBB算法通过比较一对数据的联合相容性,可以比较成功的判别虚假的配对,因此在比较复杂的数据中可以比较能够体现出它的鲁棒性。 (zh)
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  • Joint compatibility branch and bound (en)
  • 联合相容分枝定界 (zh)
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