The availability of a good viewpoint space partition is crucial in three dimensional(3-D)object recognition on the approach of aspect graph.There are two important events,depicted by the aspect graph approach, edge-edge-edge(EEE)events and edge-vertex(EV)events.This paper presents an algorithm to compute EEE events by characteristic analysis based on conicoid theory,in contrast to current algorithms that focus too much on EV events and often overlook the importance of EEE events.Also,the paper provides a standard flowchart for the viewpoint space partitioning based on aspect graph theory that makes it suitable for perspective models.The partitioning result best demonstrates the algorithm's efficiency with more valuable viewpoints found with the help of EEE events,which can definitely help to achieve high recognition rate for 3-D object recognition.
This paper constructs a simulation system of near-field laser imaging for 3D grid model of target,provides some methods for the key problems,such as the modeling of target and laser transceiver,the calculation of laser echo power,the imaging algorithms and so on.A target image library is established by a new imaging method in any rendezvous conditions.The four real-time recognition algorithms which are efficient and suitable for hardware implementation are presented at the conditions of the image incompleteness,intensive noise and arbitrary attitude of target.The experimental results show that all the four algorithms can independently recognize the target effectively and a better recognition effect is obtained by the integration of four algorithms.
