The traditional image recognition technology can transform some expression form of image into the data which can be processed by computer, and recognize the image with decision function. However, in actual applications, incomplete 3D images will be encountered. In order to screen the required image information from a large amount of images, it is necessary to recognize and match the image, and so the research has long-term application value. In this paper, SIFT algorithm was used to extract the feature vectors for incomplete 3D information recognition. Then, the modeling method of circular matching pattern was proposed, and the pattern of mathematical recognition was adopted in the process of image recognition. After that, on the basis of a large number of domestic and foreign research literatures, the process of “image hypothesis” converted to “image recognition” was completed. Finally, the system simulation was carried out by using Microsoft Visual Studio. For the incomplete 3D information image, the image feature recognition system was completed.

传统的图像识别技术可以将图像的某种表达形式转换为可以由计算机处理的数据，并具有决策功能来识别图像。但是，在实际应用中，会遇到不完整的3D图像。为了从大量图像中筛选出所需的图像信息，必须对图像进行识别和匹配，因此该研究具有长期的应用价值。在本文中，SIFT算法用于提取不完整的3D信息识别的特征向量。然后，提出了圆形匹配模式的建模方法，并在图像识别过程中采用了数学识别模式。之后，在大量国内外研究文献的基础上，“图像假设”转换为“图像识别”的过程完成。最后，使用Microsoft Visual Studio进行了系统仿真。对于不完整的3D信息图像，图像特征识别系统已完成。