TY - JOUR
T1 - Manual/automatic colorization for three-dimensional geometric models utilizing laser reflectivity
AU - Oishi, Shuji
AU - Kurazume, Ryo
N1 - Funding Information:
This work was supported in part by JSPS KAKENHI [grant number 246404] and a Grant-in-Aid for Scientific Research (A) (26249029).
Publisher Copyright:
© 2014 Taylor & Francis and The Robotics Society of Japan.
PY - 2014/12/17
Y1 - 2014/12/17
N2 - While laser scanners can produce a high-precision 3D shape of a real object, appearance information of the object has to be captured by an image sensor, such as a digital camera. This paper proposes a novel and simple technique for colorizing 3D geometric models based on laser reflectivity. Laser scanners capture the range data of a target object from the sensors. Simultaneously, the power of the reflected laser is obtained as a by-product of the range data. The reflectance image, which is a collection of laser reflectance depicted as a grayscale image, contains rich appearance information about the target object. The proposed technique is an alternative to texture mapping, which has been widely used to realize photo-realistic 3D modeling but requires strict alignment between range data and texture images. The proposed technique first colorizes a reflectance image based on the similarity of color and reflectance images. Then the appearance information (color and texture information) is added to a 3D model by transferring the color in the colorized reflectance image to the corresponding range image. Some experiments and comparisons between texture mapping and the proposed technique demonstrate the validity of the proposed technique.
AB - While laser scanners can produce a high-precision 3D shape of a real object, appearance information of the object has to be captured by an image sensor, such as a digital camera. This paper proposes a novel and simple technique for colorizing 3D geometric models based on laser reflectivity. Laser scanners capture the range data of a target object from the sensors. Simultaneously, the power of the reflected laser is obtained as a by-product of the range data. The reflectance image, which is a collection of laser reflectance depicted as a grayscale image, contains rich appearance information about the target object. The proposed technique is an alternative to texture mapping, which has been widely used to realize photo-realistic 3D modeling but requires strict alignment between range data and texture images. The proposed technique first colorizes a reflectance image based on the similarity of color and reflectance images. Then the appearance information (color and texture information) is added to a 3D model by transferring the color in the colorized reflectance image to the corresponding range image. Some experiments and comparisons between texture mapping and the proposed technique demonstrate the validity of the proposed technique.
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U2 - 10.1080/01691864.2014.968616
DO - 10.1080/01691864.2014.968616
M3 - Article
AN - SCOPUS:84919825968
VL - 28
SP - 1637
EP - 1651
JO - Advanced Robotics
JF - Advanced Robotics
SN - 0169-1864
IS - 24
ER -