摘要
本文提出一种新的判据方法来重建图像的三维体外形,该判据是具有大深度观察体的透视图像的遮挡边界。本文首次给出观察体的空间遮挡边界曲线的精确求解方法。一个以空间遮挡边界的透视投影为判据、由图像恢复三维观察体的优化过程在文中提出。本方法还可用于灰度分布不清晰图像的观察体三维恢复。文中给出的人造体图像和其它照片图像重建三维外形的例子显示,本文方法对于光顺曲面体的透视图像的三维恢复是十分有效的。
A new criterion method of 3D object recovery from 2D images is presented. The criterion is the occluding boundary of perspective images corresponding to the 3-D objects in scene having large depth. An accurate resolution of the space occluding boundary of objects in sense is introduced in this paper. An optimization method is used for recovery of 3-d object's configuration from images by the criterion of the perspective projection of space object's occluding boundary comparing with the range image contours. This method is also applied for 3-D recovery of the object's images whose shading is not clear. Some computed results of synthetic object's images and real solid's images show that our method is efficient for 3D recovery of the perspective images.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1998年第3期266-273,共8页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金
