理解基于启发式的三视图图

Chang-Hun Kim, M. Inoue, S. Nishihara
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引用次数: 6

摘要

描述了一种用二值图像表示的手绘三视图图重建三维模型的系统。作者着重描述了一种启发式定向重构算法。该算法基于人脸决策策略和两种启发式算法进行组合搜索,旨在模拟人类对解释的理解方式。一种方法是找到一个好的搜索节点序列,另一种方法是找到比不寻常的场景更早的自然场景
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding three-view drawings based on heuristics
A system that reconstructs 3D models from hand-drawn three-view drawings represented by binary images is described. The authors lay main stress on the description of a heuristics directed reconstruction algorithm. The proposed algorithm performs a combinatorial search based on the face decision strategy along with two heuristics aiming at simulating the human's understanding way of interpretation. One is for finding a good sequence of search nodes, and the other for finding more natural scenes earlier than unusual ones.<>
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