Volume I-4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 89-93, 2012
https://doi.org/10.5194/isprsannals-I-4-89-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 89-93, 2012
https://doi.org/10.5194/isprsannals-I-4-89-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  18 Jul 2012

18 Jul 2012

DENSE CORRESPONDING PIXEL MATCHING USING A FIXED WINDOW WITH RGB INDEPENDENT INFORMATION

T. Hu and H. Wu T. Hu and H. Wu
  • State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079 Wuhan, China

Keywords: Image process, Dense corresponding pixel matching, Markov Random Field, Fixed Window, RGB independent Information

Abstract. A fixed window based algorithm is proposed for dense corresponding pixel matching between epipolar images. The algorithm makes full use of three colour components, R, G and B, and simplifies determining the optimal window. In order to reduce the impact of obvious colour difference between corresponding pixels, the proposed algorithm uses more information from neighbouring pixels, and adjusts the contributions of the central pixels and their neighbouring pixels. Two pairs of epipolar images are tested using the fixed window based algorithm. The experimental results, including boundary testing, sampled corresponding pixels’ evaluation and 3D point cloud check, demonstrate the effectiveness of the proposed algorithm.