Abstract
This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a subset of the features in favour of those areas that are defined as well exposed from the different images. The results show an advantage in using these features over features extracted from the common alternative techniques of exposure fusion and tone mapping which extract the features as AWF; alignment, weighting then features. This paper also shows that the process allows for a more robust response when using misaligned or stereoscopic image sets.
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Debevec, P., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: ACM SIGGRAPH Classes, pp. 1–10. ACM (2008)
Devlin, K., Reinhard, E.: Dynamic Range Reduction Inspired by Photoreceptor Physiology. IEEE TVCG 11(1), 13–24 (2005)
Drago, F., Myszkowski, K., Annen, T., Chiba, N.: Adaptive logarithmic mapping for displaying high contrast scenes. CGF 22, 419–426 (2003)
Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. ACM TOG 21, 257–266 (2002)
Fattal, R., Lischinski, D., Werman, M.: Gradient domain high dynamic range compression. ACM TOG 21(3), 249–256 (2002)
Helmer, S., Meger, D., Muja, M., Little, J.J., Lowe, D.G.: Multiple Viewpoint Recognition and Localization. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part I. LNCS, vol. 6492, pp. 464–477. Springer, Heidelberg (2011)
Larson, G., Rushmeier, H., Piatko, C.: A visibility matching tone reproduction operator for high dynamic range scenes. IEEE TVCG 3(4), 291–306 (1997)
Li, Y., Sharan, L., Adelson, E.: Compressing and companding high dynamic range images with subband architectures. ACM TOG 24, 836–844 (2005)
Lowe, D.: Object recognition from local scale-invariant features. In: ICCV, vol. 2, p. 1150 (1999)
Lowe, D.: Distinctive image features from scale-invariant keypoints. IJCV 60(2), 91–110 (2004)
Mann, S., Picard, R., Section, Massachusetts Institute Technology Perceptual Computing: On being ’undigital’ with digital cameras: Extending dynamic range by combining differently exposed pictures (1995)
May, M., Morris, T., Markham, K., Crowther, W.J., Turner, M.J.: Towards Object Recognition using HDR Video, Stereoscopic Depth Information and SIFT. In: EG UK TPCG (2009)
May, M., Turner, M.J., Morris, T.: Analysing False Positives and 3D Structure to Create Intelligent Thresholding and Weighting Functions for SIFT Features. In: Ho, Y.-S. (ed.) PSIVT 2011, Part I. LNCS, vol. 7087, pp. 191–202. Springer, Heidelberg (2011)
Mertens, T., Kautz, J., Van Reeth, F.: Exposure fusion: A simple and practical alternative to high dynamic range photography. CGF 28, 161–171 (2009)
Mertens, T., Kautz, J., Van Reeth, F.: Exposure fusion. In: PG. pp. 382–390. IEEE (October 2007)
Reinhard, E.: Dynamic range reduction inspired by photoreceptor physiology. IEEE TVCG 11(1), 13–24 (2005)
Reinhard, E.: High dynamic range imaging: acquisition, display, and image-based lighting. Morgan Kaufmann (2006)
Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. ACM TOG 21(3), 267–276 (2002)
Tico, M., Gelfand, N., Pulli, K.: Motion-blur-free exposure fusion. In: IEEE ICIP, pp. 3321–3324, No. I (2010)
Tomaszewska, A., Mantiuk, R.: Image registration for multi-exposure high dynamic range image acquisition. In: WSCG, pp. 49–56 (2007)
Tumblin, J., Rushmeier, H.: Tone reproduction for realistic images. IEEE CGA 13(6), 42–48 (1993)
Xiao, F., DiCarlo, J., Catrysse, P., Wandell, B.: High dynamic range imaging of natural scenes. In: CIC, pp. 337–442 (2002)
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May, M., Turner, M., Morris, T. (2011). FAW for Multi-exposure Fusion Features. In: Ho, YS. (eds) Advances in Image and Video Technology. PSIVT 2011. Lecture Notes in Computer Science, vol 7087. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25367-6_26
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DOI: https://doi.org/10.1007/978-3-642-25367-6_26
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