抄録
A design of a three-dimensional (3-D) vision system based on geometric knowledge is described. The advantage of this model-based approach is to provide a precise understanding and strong robustness against partial occlusions for the object represented by a geometric solid model. The main reason for difficulty in recognizing partially occluded objects is that there is no object model with every variety of partial occlusion. It is a problem to obtain a customized object representation in three-dimensional space. The proposed system can synthesize various images dynamically from the geometric model description by handling the solid modeler. The depth information is extracted from a single view with geometric knowledge. The configuration of the target object is treated as a hypothesis. The generate-and-test strategy is used for hypothesis verification.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Proc Int Workshop Ind Appl Machine Intell Vision |
| 編集者 | Anon |
| Place of Publication | Piscataway, NJ, United States |
| 出版社 | Publ by IEEE |
| ページ | 217-222 |
| ページ数 | 6 |
| 出版ステータス | Published - 1989 |
| 外部発表 | はい |
| イベント | Proceedings of the International Workshop on Industrial Applications of Machine Intelligence and Vision - Tokyo, Japan 継続期間: 1989 4月 10 → 1989 4月 12 |
Other
| Other | Proceedings of the International Workshop on Industrial Applications of Machine Intelligence and Vision |
|---|---|
| City | Tokyo, Japan |
| Period | 89/4/10 → 89/4/12 |
ASJC Scopus subject areas
- 工学（全般）