@misc{oai:ir.soken.ac.jp:00003144,
 author = {THOMAS, Diego and トーマス, ディエゴ and THOMAS, Diego},
 month = {2016-02-17, 2016-02-17},
 note = {3D modeling of a real scene stands for constructing a virtual representation
of the scene, generally simplified that can be used or modified at
our will. Constructing such a 3D model by hand is a laborious and time
consuming task, and automating the whole process has attracted growing interest
in the computer vision field. In particular, the task of registering (i.e.
aligning) different parts of the scene (called range images) acquired from
different viewpoints is of crucial importance when constructing 3D models.
During the last decades, researchers have concentrated their efforts on this
problem and proposed several methodologies to automatically register range
images. Thereby, key-point detectors and descriptors have been utilized to
match points across different range images using geometric features or textural
features. Several similarity metrics have also been proposed to identify
the overlapping regions. In spite of the advantages of the current methods,
several limitation cases have been reported. In particular, when the scene
lacks in discriminative geometric features, the difficulty of accounting for
the changes in appearance of the scene observed in different poses, or from
different viewpoints, significantly degrades the performance of the current
methods. We address this issue by investigating the use of photometry (i.e.
the relationship between geometry, reflectance properties and illumination)
for range image registration. First, we propose a robust descriptor using
albedo that is permissive to errors in the illumination estimation. Second,
we propose an albedo extraction technique for specular surfaces that enlarges
the range of materials we can deal with. Third, we propose a photometric
metric under unknown lighting that allows registration of range images without
any assumptions on the illumination. With these proposed methods, we
significantly enlarge the practicability and range of applications of range
image registration., 総研大甲第1517号},
 title = {Range Image Registration Based on Photometry},
 year = {}
}