TY - GEN
T1 - Object scanning using a sensor frame
AU - Jeong, Soonmook
AU - Song, Taehoun
AU - Go, Gihoon
AU - Kwon, Keyho
AU - Jeon, Jaewook
PY - 2009
Y1 - 2009
N2 - This paper focuses on object scanning using sensors. The objects are articles in daily use. Everyday objects, such as cups, bottles and vessels are good models to scan. The sensor scan represents the objects as 3D images on the computer monitor. Our research proposes a new device to scan real world objects. The device is a square frame, similar to a picture frame, but, except for the frame, is empty. The infrared sensors are arranged on the device frame. These sensors detect the object and extract the coordinates from the detected object. These coordinates are transmitted to the computer and the 3D creation algorithm represents these coordinates as a 3D image. The operating principle is simple, similar to scanning a person at a checkpoint. The user passes the object through the sensor frame to obtain the 3D image, creating the 3D image corresponding to the real object. Thus, the user can easily obtain the 3D object image. This approach uses a low-cost infrared sensor, rather than a high-cost sensor, such as a laser.
AB - This paper focuses on object scanning using sensors. The objects are articles in daily use. Everyday objects, such as cups, bottles and vessels are good models to scan. The sensor scan represents the objects as 3D images on the computer monitor. Our research proposes a new device to scan real world objects. The device is a square frame, similar to a picture frame, but, except for the frame, is empty. The infrared sensors are arranged on the device frame. These sensors detect the object and extract the coordinates from the detected object. These coordinates are transmitted to the computer and the 3D creation algorithm represents these coordinates as a 3D image. The operating principle is simple, similar to scanning a person at a checkpoint. The user passes the object through the sensor frame to obtain the 3D image, creating the 3D image corresponding to the real object. Thus, the user can easily obtain the 3D object image. This approach uses a low-cost infrared sensor, rather than a high-cost sensor, such as a laser.
KW - 3D image
KW - Infrared sensor
KW - Scanning
KW - Sensor frame
UR - https://www.scopus.com/pages/publications/70350332437
U2 - 10.1007/978-3-642-02580-8_47
DO - 10.1007/978-3-642-02580-8_47
M3 - Conference contribution
AN - SCOPUS:70350332437
SN - 364202579X
SN - 9783642025792
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 433
EP - 439
BT - Human-Computer Interaction
T2 - 13th International Conference on Human-Computer Interaction, HCI International 2009
Y2 - 19 July 2009 through 24 July 2009
ER -