000			04838nam a22004335i 4500
999			_c387239 _d387239
001			387239
003			ES-MaUEC
005			20230218170814.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2010 sz | s |||| 0|eng d
020			_a9783031018084
024	7		_a10.1007/978-3-031-01808-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQK46 _b2010 EB
100	1		_aKang, Sing Bing _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686970
245	1	0	_aImage-Based Modeling of Plants and Trees _cby Sing Bing Kang, Long Quan
250			_a1st edition 2010
264		1	_aCham _bSpringer International Publishing _c2010
300			_a1 recurso en línea (X, 74 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Vision _x2153-1064
505	0		_aIntroduction -- Review of Plant and Tree Modeling Techniques -- Image-Based Technique for Modeling Plants -- Image-Based Technique for Modeling Trees -- Single Image Tree Modeling -- Summary and Concluding Remarks -- Acknowledgments.
520			_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. For our plant modeling system, because we need to model the individual leaves, these leaves need to be segmented out from the images. We designed our plant modeling system to be interactive, automating the process of shape recovery while relying on the user to provide simple hints on segmentation. Segmentation is performed in both image and 3D spaces, allowing the user to easily visualize its effect immediately. Using the segmented image and 3D data, the geometry of each leaf is then automatically recovered from the multiple views by fitting a deformable leaf model. Our system also allows the user to easily reconstruct branches in a similar manner. To model trees, because of the large leaf count, small image footprint, and widespread occlusions, we do not model the leaves exactly as we do for plants. Instead, we populate the tree with leaf replicas from segmented source images to reconstruct the overall tree shape. In addition, we use the shape patterns of visible branches to predict those of obscured branches. As a result, we are able to design our tree modeling system so as to minimize user intervention. We also handle the special case of modeling a tree from only a single image. Here, the user is required to draw strokes on the image to indicate the tree crown (so that the leaf region is approximately known) and to refine the recovery of branches. As before, we concatenate the shape patterns from a library to generate the 3D shape. To substantiate the effectiveness of our systems, we show realistic reconstructions of a variety of plants and trees from images. Finally, we offer our thoughts on improving our systems and on the remaining challenges associated with plant and tree modeling. Table of Contents: Introduction / Review of Plant and Tree Modeling Techniques / Image-Based Technique for Modeling Plants / Image-Based Technique for Modeling Trees / Single Image Tree Modeling / Summary and Concluding Remarks / Acknowledgments.
988			_aSynthesis Collection of Technology_2010
650		7	_2embne _9413188 _aProceso digital de imágenes
650		7	_2embne _9141143 _aGráficos de ordenador
650		7	_2embne _9143900 _aDiseño asistido por ordenador
700	1		_aQuan, Long _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686971
776	0	8	_iPrinted edition: _z9783031006807
776	0	8	_iPrinted edition: _z9783031029363
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01808-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI