In portable visual metrology, a large number of un-coding targets are stuck on the surface of the measured object. Since the shapes of the image points are similar in different station images, there is not sufficient information to classify and identify the image points. Therefore, matching of un-coding targets between multiple images is an important task in portable visual metrology. Numerous researches prove that epipolar line matching method is an effective way to do the match. However, the camera is not calibrated before the measurement in portable visual metrology. The solving accuracy of fundamental matrix is low due to image distortion, which results in great amount of mismatches. To solve this problem, an un-coding points matching method based on spatial intersection is proposed. With the automated match of coding targets between multiple images, internal and external parameters of stations are obtained combining with bundle adjustment optimization. Utilizing these parameters, two-dimensional image points are re-projected into corresponding three-dimensional spatial lines and the matching image points can be determined with the intersecting relationship of lines on space. Multiple experiments indicate that this method can find more match points than epipolar line matching method and is more suitable for portable visual metrology.