New PDF release: Digitally Archiving Cultural Objects

By Katsushi Ikeuchi, Daisuke Miyazaki

ISBN-10: 0387758062

ISBN-13: 9780387758060

ISBN-10: 0387758070

ISBN-13: 9780387758077

A huge variety of cultural background items around the globe are deteriorating or being destroyed a result of paintings of common failures, akin to earthquakes and floods, and human-inflicted destruction, akin to struggle and vandalism. within the wake of those threats, 3D info turns into a severe component of completely recording the shapes of those vital gadgets in order that they can be handed right down to destiny generations.

Digitally Archiving Cultural Objects describes thorough learn and strategies for retaining cultural background items by using 3D electronic information. those equipment have been built via utilizing desktop imaginative and prescient and special effects applied sciences. this knowledge can be used for simulation and recovery reasons in addition to in the direction of numerous multimedia functions.

This complete booklet is geared up into 4 elements. half 1 describes quite a few sensors designed to acquire info. half 2 incorporates a selection of papers that describe the geometric pipeline, changing got info right into a constant geometric version, via identifying relative kin between electronic information and connecting these information right into a uniform illustration. half three matters photometric matters, together with the best way to map colour images on a geometrical version and the way to take away the influence of sun within the photographs got. half four studies at the attempt to set up a electronic museum to revive and reveal the unique visual appeal of history items in addition to behavior analyses of bought facts for historical past research.

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L. Bentley, and R. A. Finkel. An algorithm for finding best-matches in logarithmic time. ACM Trans. on Mathematical Software, 3(3):209–226, 1977. [10] P. Gill, W. Murray, and M. Wright. Practical Optimization. Academic Press, London, 1981. [11] A. Gruber and Y. Weiss. Multibody factorization with uncertainty and missing data using the em algorithm. In Proc. of CVPR2004, volume 1, pages 707–714, 2004. [12] M. Han and T. Kanade. Perspective factorization methods for euclidean reconstruction. Technical Report :CMU–RI–TR–99–22, Robotics Institute, Carnegie Mellon University, 1999.

C)The rectified model by our method. 10 shows several samples of the method. 6. Conclusions In this chapter, we have described FLRS system and a proposed method to rectify 3D range data obtained by a moving laser range sensor. We described how an outstanding measurement system FLRS was built to scan large objects from the air. This system allowed us to measure the large cultural heritage objects by using a balloon. To rectify the distorted shapes obtained from the FLRS, we proposed a rectification method based on the "Structure from Motion" techniques by using image sequences.

Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91–110, 2004. [19] D. W. Marquardt. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11:431–441, 1963. [20] T. Masuda, Y. Hirota, K. Nishino, and K. Ikeuchi. Simultaneous determination of registration and deformation parameters among 3D range images. In Proc. of 3DIM2005, pages 369–376, 2005. [21] D. Miyazaki, T. Oishi, T. Nishikawa, R. Sagawa, K.

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Digitally Archiving Cultural Objects by Katsushi Ikeuchi, Daisuke Miyazaki


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