长治学院学报
長治學院學報
장치학원학보
JOURNAL OF CHANGZHI UNIVERSITY
2013年
2期
1-6
,共6页
弹性点匹配%确定性退火%收敛性
彈性點匹配%確定性退火%收斂性
탄성점필배%학정성퇴화%수렴성
non-rigid point matching%deterministic annealing%convergence
鲁棒点匹配算法中的退火温度是按常数比率降低的，它导致运行时间长。文章基于对应关系矩阵的熵和退火温度是同时变化的现象，提出采用熵来建模退火温度，由此得到一种新的算法。尝试了两种实现方案，实验表明它们都比原算法高效，其中一种实现方案的鲁棒性和配准精度都非常接近原算法。
魯棒點匹配算法中的退火溫度是按常數比率降低的，它導緻運行時間長。文章基于對應關繫矩陣的熵和退火溫度是同時變化的現象，提齣採用熵來建模退火溫度，由此得到一種新的算法。嘗試瞭兩種實現方案，實驗錶明它們都比原算法高效，其中一種實現方案的魯棒性和配準精度都非常接近原算法。
로봉점필배산법중적퇴화온도시안상수비솔강저적，타도치운행시간장。문장기우대응관계구진적적화퇴화온도시동시변화적현상，제출채용적래건모퇴화온도，유차득도일충신적산법。상시료량충실현방안，실험표명타문도비원산법고효，기중일충실현방안적로봉성화배준정도도비상접근원산법。
The annealing temperature in the robust point matching(RPM) method[1] is decreased by a fixed rate, which leads to long running time. Based on the observation that the entropy of correspondence matrix and annealing temperature change in accordance with each other, we propose in this paper using the entropy to model annealing temperature, which leads to a new point matching method. We tried two variants of this method. Experimental results showed that both of them are much more efficient than RPM, while one of them also well preserves the robustness and accuracy of RPM.
