000 04372nam a2200553 i 4500
001 6812922
003 IEEE
005 20200413152855.0
006 m eo d
007 cr cn |||m|||a
008 091104s2010 caua foab 000 0 eng d
020 _a9781608452453 (electronic bk.)
020 _z9781608452446 (pbk.)
024 7 _a10.2200/S00205ED1V01Y200911COV001
_2doi
035 _a(CaBNVSL)gtp00536335
035 _a(OCoLC)464594796
040 _aCaBNVSL
_cCaBNVSL
_dCaBNVSL
050 4 _aTA1637
_b.K255 2010
082 0 4 _a621.367
_222
100 1 _aKang, Sing Bing.
245 1 0 _aImage-based modeling of plants and trees
_h[electronic resource] /
_cSing Bing Kang, Long Quan.
260 _aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
_bMorgan & Claypool Publishers,
_cc2010.
300 _a1 electronic text (x, 73 p. : ill.) :
_bdigital file.
490 1 _aSynthesis lectures on computer vision ;
_v# 1
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat reader.
500 _aPart of: Synthesis digital library of engineering and computer science.
500 _aSeries from website.
504 _aIncludes bibliographical references (p. 67-72).
505 0 _a1. Introduction -- 2. Review of plant and tree modeling techniques -- Rule-based methods -- Sketch-based methods -- Image-based methods -- Modeling leaves, flowers, and bark -- Modeling environmental effects -- Modeling other flora -- Appendix: Brief description of L-system -- 3. Image-based technique for modeling plants -- Overview of plant modeling system -- Preliminary processes -- Graph-based leaf extraction -- Graph partition -- User interface -- Graph update -- Boundary segmentation -- Model-based leaf reconstruction -- Extraction of a generic leaf model -- Leaf reconstruction -- Branch extraction and reconstruction -- Results -- Discussion -- Summary -- 4. Image-based technique for modeling trees -- Overview of the system -- Image capture and 3D point recovery -- Branch recovery -- Reconstruction of visible branches -- Reconstruction of occluded branches -- Populating the tree with leaves -- Image segmentation and clustering -- Adding leaves to branches -- Results -- Discussion -- Summary -- 5. Single image tree modeling -- Overview of system -- Image plane sketching -- Tree growing -- Growth engine -- Data-driven attractors -- Completing the tree -- Results -- Summary -- 6. Summary and concluding remarks -- Acknowledgments -- Bibliography -- Authors' biographies.
506 1 _aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 _aCompendex
510 0 _aINSPEC
510 0 _aGoogle scholar
510 0 _aGoogle book search
520 3 _aPlants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe our approaches for modeling plants and trees using images. Image-based approaches have the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant or tree. We use different techniques for modeling plants (with relatively large leaves) and trees (with relatively small leaves). With plants, we model each leaf from images, while for trees, the leaves are only approximated due to their small size and large number. Both techniques start with the same initial step of structure from motion on multiple images of the plant or tree that is to be modeled.
530 _aAlso available in print.
588 _aTitle from PDF t.p. (viewed on November 4, 2009).
650 0 _aImage processing
_xDigital techniques.
650 0 _aComputer drawing
_xSpecial effects.
650 0 _aBotanical illustration
_xComputer programs.
650 0 _aBotany
_xComputer simulation.
650 0 _aTrees
_xComputer simulation.
650 0 _aPlants
_xComputer simulation.
700 1 _aQuan, Long.
730 0 _aSynthesis digital library of engineering and computer science.
830 0 _aSynthesis lectures on computer vision ;
_v# 1.
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6812922
999 _c561715
_d561715