“View planning for BRDF acquisition” by Lang, Seidel and Lensch

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Conference:


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Title:

    View planning for BRDF acquisition

Session/Category Title:   BRDF


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Abstract:


    The estimation of the bi-directional reflectance distribution function (BRDF) of a 3D object requires reflectance measurements under numerous viewing and lighting directions. This sketch summarizes our method to select advantageous directions. Uncertainty minimization of the estimated BRDF parameters forms the theoretical underpinning of our acquisition planner. Our hardware-accelerated planner can aid manual and automatic measurement, reduces measurement effort and increases the quality of the acquired models.

References:


    1. LENSCH, H., KAUTZ, J., GOESELE, M., HEIDRICH, W., AND SEIDEL, H.-P. 2003. Image-based reconstruction of spatial appearance and geometric detail. ACM Transactions on Graphics 22, 2.
    2. WHAITE, P., AND FERRIE, F. 1997. Autonomous exploration: Driven by uncertainty. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 3, 193–205.


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