TY - JOUR
T1 - Adaptive space carving with texture mapping
AU - Yang, Yoo Kil
AU - Lee, Jung
AU - Kim, Soo Kyun
AU - Kim, Chang Hun
PY - 2005
Y1 - 2005
N2 - Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.
AB - Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.
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M3 - Conference article
AN - SCOPUS:24944567470
SN - 0302-9743
VL - 3482
SP - 1129
EP - 1138
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
IS - III
T2 - International Conference on Computational Science and Its Applications - ICCSA 2005
Y2 - 9 May 2005 through 12 May 2005
ER -