Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02580-8_47 | HCI (3) |
Keywords | Field | DocType |
object image,high-cost sensor,square frame,object scanning,sensor frame,everyday object,infrared sensor,real world object,device frame,real object,picture frame,3d imaging,infrared | Computer vision,Computer monitor,Computer graphics (images),Computer science,Laser,Artificial intelligence,3d image | Conference |
Volume | ISSN | Citations |
5612 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soonmook Jeong | 1 | 24 | 3.42 |
| Taehoun Song | 2 | 23 | 3.04 |
| Gihoon Go | 3 | 6 | 0.84 |
| Keyho Kwon | 4 | 11 | 3.05 |
| Jaewook Jeon | 5 | 5 | 2.25 |