TY - JOUR
T1 - Harris 3D
T2 - A robust extension of the Harris operator for interest point detection on 3D meshes
AU - Sipiran, Ivan
AU - Bustos, Benjamin
PY - 2011/11
Y1 - 2011/11
N2 - With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim is to detect a few salient structures which can be used, instead of the whole object, for applications like object registration, retrieval, and mesh simplification. In this paper, we present an interest points detector for 3D objects based on Harris operator, which has been used with good results in computer vision applications. We propose an adaptive technique to determine the neighborhood of a vertex, over which the Harris response on that vertex is calculated. Our method is robust to several transformations, which can be seen in the high repeatability values obtained using the SHREC feature detection and description benchmark. In addition, we show that Harris 3D outperforms the results obtained by recent effective techniques such as Heat Kernel Signatures
AB - With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim is to detect a few salient structures which can be used, instead of the whole object, for applications like object registration, retrieval, and mesh simplification. In this paper, we present an interest points detector for 3D objects based on Harris operator, which has been used with good results in computer vision applications. We propose an adaptive technique to determine the neighborhood of a vertex, over which the Harris response on that vertex is calculated. Our method is robust to several transformations, which can be seen in the high repeatability values obtained using the SHREC feature detection and description benchmark. In addition, we show that Harris 3D outperforms the results obtained by recent effective techniques such as Heat Kernel Signatures
KW - 3D interest points detection
KW - Harris operator
KW - Local features
UR - http://www.scopus.com/inward/record.url?scp=83155181672&partnerID=8YFLogxK
U2 - 10.1007/s00371-011-0610-y
DO - 10.1007/s00371-011-0610-y
M3 - Article
AN - SCOPUS:83155181672
SN - 0178-2789
VL - 27
SP - 963
EP - 976
JO - Visual Computer
JF - Visual Computer
IS - 11
ER -