title: Computational approach to seasonal changes of living leaves.
abstract: This paper proposes a computational approach to seasonal changes of living leaves by combining the geometric deformations and textural color changes. The geometric model of a leaf is generated by triangulating the scanned image of a leaf using an optimized mesh. The triangular mesh of the leaf is deformed by the improved mass-spring model, while the deformation is controlled by setting different mass values for the vertices on the leaf model. In order to adaptively control the deformation of different regions in the leaf, the mass values of vertices are set to be in proportion to the pixels' intensities of the corresponding user-specified grayscale mask map. The geometric deformations as well as the textural color changes of a leaf are used to simulate the seasonal changing process of leaves based on Markov chain model with different environmental parameters including temperature, humidness, and time. Experimental results show that the method successfully simulates the seasonal changes of leaves.
authors.affiliation: School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Tang
authors.forename: Dong-Yan
authors.initials: DY
authors.lastname: Wu
authors.forename: Jing
authors.initials: J
authors.lastname: Fan
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004777:Environment; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional; D008390:Markov Chains; D008954:Models, Biological; D018515:Plant Leaves / Q000502:physiology*; D018521:Plant Physiological Phenomena; D012621:Seasons; D013696:Temperature