城市居住空间形态特征数字化建模仿真研究

Research on Digital Modeling and Simulation of Urban Residential Space Morphological Characteristics

当前建筑三维重建相关研究成果存在建模精度低、耗时长的问题,提出基于关系匹配的城市居住空间形态特征数字化模型。依据预设规律,每次由左影像中筛选出一个像素,利用该像素核线在右影像找到相应同名核线,通过最小二乘法获取两条同名核线解析式,基于所得解析式获取核线上的像素坐标。依据所得坐标位置,实现指标像素点采样,并依据设定规则按从小至大顺序在水平方向上排列,获取水平核线影像,迭代上述过程,直到核线覆盖整幅影像,得到同名近似核线影像。对影像实行常规直方图平衡处理,并对原始影像和处理之后的影像在尽可能大的空间范围内完成映射,使两者转换之后均能够消除灰度冗余,实现影像处理。基于处理后的图像结构特征或者关系特征间存在的关联,利用目标影像和检索影像两个关系集合间总距离定义关系匹配原则,实现居住空间形态特征匹配,完成建模。实验结果表明,该模型精度和建模效率较高,具有可靠性。

Due to low modeling accuracy and high time consumption, this article proposes a digital model of morphological feature in urban residential space based on relationship matching. According to the presupposition, a pixel was selected from the left image in every time. After that, the epipolar line of pixel was used to find the corresponding epipolar line from the right image. The analytical expressions of two corresponding epipolar lines were obtained by the least square method. The pixel coordinates on epipolar line was obtained by the analytical expression. According to the coordinate position, the sampling of index pixels was achieved, which were arranged in the horizontal direction based on the setting rule, the horizontal epipolar line image was obtained. Then, the above process was iterated until the nuclear line covered the whole image, so that the image of approximate corresponding epipolar line was obtained. The conventional balanced histogram processing was performed on the image. Meanwhile, the original image and the processed image were mapped in the space as large as possible, so that the gray redundancy could be eliminated and the image processing could be achieved after the conversion. Based on the relationship between the image structure features after processing or the relationship features, the total distance between two relational sets such as the target image and the retrieved image was used to define the relationship matching principle. Finally, the morphological features in residential space were matched and the modeling was completed. Simulation results show that the model has high accuracy and modeling efficiency, which is reliable.