M. Boutin, G. Kemper, ”A drone can hear the shape of a room,” SIAM Journal on Applied Algebra and Geometry, 4:1(2020), 123–140. (arXiv version, PDF)
T. Yellamraju and M. Boutin, "Clusterability and clustering of images and other “real” high-dimensional data." IEEE Transactions on Image Processing 27.4 (2018):1927-1938.
Kim, Jieun and M. Boutin, “Deriving nutrition information using mathematical estimation: The example of phenylalanine in sweets with gelatin.” Journal of the Academy of Nutrition and Dietetics 115.9 (2015): 1384-1386.
M. Boutin and S. Huang, “The Pascal triangle of a discrete image: definition, properties and application to shape analysis.” Symmetry, Integrability and Geometry. Methods and Applications 9 (2013).
J. Zhang, M. Boutin, and D. G. Aliaga, “Pose-free structure from motion using depth from motion constraints.” IEEE Transactions on Image Processing 20.10 (2011): 2937-2953.
H. Siddiqui, M. Boutin and C. A. Bouman, “Hardware friendly descreening,” IEEE Transactions on Image Processing, Vol.19, No.3, pp.746-757, 2010.
M. Boutin and G. Kemper, “On reconstructing n-point configurations from the distribution of distances or areas." Advances in Applied Mathematics 32.4 (2004): 709-735.
P. L. Bazin and M. Boutin, “Structure from motion: a new Look from the point of view of invariant theory,'” SIAM Journal of Applied Mathematics, Vol. 64, No. 4, pp. 1156-1174, 2004.
M. Boutin, “On orbit dimensions under a simultaneous Lie group action on n copies of a manifold,'” Journal of Lie Theory, Vol.12, pp.191-203, 2002.
M. Boutin, “Numerically invariant signature curves,” International Journal of Computer Vision, Vol. 40, No.3, pp.235-248, 2000.
Publications by Topics
Recognition and Symmetry Detection
Data Science and ML in Education Research
