An Improved Algorithm of Viewpoint Space Partition in 3d Object Recognition Application
نویسندگان
چکیده
Aspect graph is an important method in 3D object recognition. To effectively compute the viewpoint space partition (VSP) is critical in acquiring a good aspect graph. In this paper, we present improvements to the VSP algorithm under perspective model: computing EV (Edge Vertex) events using triangle face feature; simplifying VSP representation; boundary intersection updating; closed loop region computing; generating multi-resolution VSP. We show the partition results, which demonstrate our algorithm’s effectiveness and fastness (less than 2 min). Based on the aspect graph constructed using the improved algorithm, we perform 3D object recognition, which matched all tested objects to the correct counterparts in database.
منابع مشابه
Transinformation of object recognition and its application to viewpoint planning
This article develops an analogy between object recognition and the transmissions of information through a channel. This analogy is based on the statistical representation of the appearance of 3D objects by several multi-dimensional receptive eld histograms. The analogy between transmission of information and object recognition provides a means to quantitatively evaluate the contribution of ind...
متن کامل3D Models Recognition in Fourier Domain Using Compression of the Spherical Mesh up to the Models Surface
Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...
متن کاملTransinformation for Active Object Recognition
This article develops an analogy between object recognition and the transmission of information through a channel based on the statistical representation of the appearances of 3D objects. This analogy provides a means to quantitatively evaluate the contribution of individual receptive eld vectors, and to predict the performance of the object recognition process. Transinformation also provides a...
متن کاملImproving 3D Object Recognition Based On Algebraic Functions of Views
We consider the problem of recognizing 3D objects from 2D images assuming different viewing angles and positions. Specifically, we propose improving 3D object recognition based on Algebraic Functions of Views (AFoVs) by integrating AFoVs, a powerful framework for predicting geometric appearance due to viewpoint changes, with indexing and learning. During training, we compute the space of views ...
متن کاملOUR-CVFH - Oriented, Unique and Repeatable Clustered Viewpoint Feature Histogram for Object Recognition and 6DOF Pose Estimation
We propose a novel method to estimate a unique and repeatable reference frame in the context of 3D object recognition from a single viewpoint based on global descriptors. We show that the ability of defining a robust reference frame on both model and scene views allows creating descriptive global representations of the object view, with the beneficial effect of enhancing the spatial descriptive...
متن کامل