Abstract
This paper presents a novel parallel stereo matching algorithm based on edge-aware filter with good performance in accuracy and speed. The initial matching cost is built with census transform and sobel operator. Then the aggregated cost is computed by rolling guidance filter and guided filter. The final disparity is computed by rolling guidance filter and weighted median filter. The key idea is to eliminate the influence of small scale structures when computing weights in aggregation step and post-processing step. The proposed method ranks 17th on Middlebury benchmark and the results cost 52.5ms on one GPU and 33.8ms on two GPUs.
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Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision 47(1–3), 7–42 (2002)
Yoon, K.J., Kweon, I.S.: Locally adaptive support-weight approach for visual correspondence search. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 2, pp. 924−931. IEEE (2005)
Yoon, K.J., Kweon, I.S.: Adaptive support-weight approach for correspondence search. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(4), 650–656 (2006)
Hosni, A., Bleyer, M., Gelautz, M., et al.: Local stereo matching using geodesic support weights. In: 16th IEEE International Conference on Image Processing (ICIP), pp. 2093−2096. IEEE (2009)
Mattoccia, S., Giardino, S., Gambini, A.: Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering. In: Zha, H., Taniguchi, R.-i., Maybank, S. (eds.) ACCV 2009, Part II. LNCS, vol. 5995, pp. 371–380. Springer, Heidelberg (2010)
He, K., Sun, J., Tang, X.: Guided image filtering. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 1–14. Springer, Heidelberg (2010)
He, K., Sun, J., Tang, X.: Guided image filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(6), 1397–1409 (2013)
Rhemann, C., Hosni, A., Bleyer, M., et al.: Fast cost-volume filtering for visual correspondence and beyond. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3017−3024. IEEE (2011)
Hosni, A., Rhemann, C., Bleyer, M., et al.: Fast cost-volume filtering for visual correspondence and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(2), 504–511 (2013)
Pham, C.C., Jeon, J.W.: Domain transformation-based efficient cost aggregation for local stereo matching. IEEE Transactions on Circuits and Systems for Video Technology 23(7), 1119–1130 (2013)
Zhang, Q., Shen, X., Xu, L., Jia, J.: Rolling guidance filter. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part III. LNCS, vol. 8691, pp. 815–830. Springer, Heidelberg (2014)
Ma, Z., He, K., Wei, Y., et al.: Constant time weighted median filtering for stereo matching and beyond. In: 2013 IEEE International Conference on Computer Vision (ICCV), pp. 49−56. IEEE (2013)
Zabih, R., Woodfill, J.: Non-parametric local transforms for computing visual correspondence. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, vol. 801, pp. 151–158. Springer, Heidelberg (1994)
Crow, F.C.: Summed-area tables for texture mapping. ACM SIGGRAPH Computer Graphics 18(3), 207–212 (1984)
Harris, M., Sengupta, S., Owens, J.D.: Parallel prefix sum (scan) with CUDA. GPU Gems 3(39), 851–876 (2007)
Li, J.: High performance edge-preserving filter on GPU. NVIDIA GTC (2015)
Bilgic, B., Horn, B.K.P., Masaki, I.: Efficient integral image computation on the GPU. In: 2010 IEEE Intelligent Vehicles Symposium (IV), pp. 528−533. IEEE (2010)
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Bu, F., Fan, C. (2015). Parallel Stereo Matching Based on Edge-Aware Filter. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R. (eds) Intelligent Robotics and Applications. Lecture Notes in Computer Science(), vol 9246. Springer, Cham. https://doi.org/10.1007/978-3-319-22873-0_27
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DOI: https://doi.org/10.1007/978-3-319-22873-0_27
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