Work

HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

Year: 1986

Type: article

Abstract: A new method has been designed to identify and locate objects lying on a flat surface. The merit of the approach is to provide strong robustness to partial occlusions (due for instance to uneven lighting conditions, shadows, highlights, touching and overlapping objects) thanks to a local and compact description of the objects boundaries and to a new fast recognition method involving generation and recursive evaluation of hypotheses named HYPER (HY potheses Predicted and Evaluated Recursively). The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts.

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI: 10.1109/tpami.1986.4767751

Authors: Nicholas Ayache, Olivier D. Faugeras

Institution: Institut national de recherche en sciences et technologies du numérique

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2000048778

FWCI: 25.59

Cites: 14

Cited by: 492

Related to: 10