Model-based two-dimensional industrial part recognition
F.K. Kung, Rajiv Mehrotra, William I. Grosky · 2003
Consideration is given to the problem of two-dimensional industrial part recognition. A novel data-driven technique for part recognition is proposed. This technique models an object or a scene as a composition of several meaningful components. A component of the unanalyzed portion of the scene is identified using a component-index. The objects that contain the identified component are hypothesized to be present in the scene. A given hypothesis is verified by matching the transformed boundary of the hypothesized object against the scene. The performance of the proposed technique is demonstrated by several examples.>