Automatic generation of prototypes in 3D structural object recognition
نویسندگان
چکیده
A scheme of generating a prototype automatically from dierent learning objects is presented. The learning objects are not one and the same object but dierent objects belonging to a same object class, and consequently have similar shape of parts and similar adjacent relations between parts. We show how to generate prototypes of several chairs and table lamps. We also tested on using generated prototype to recognize chairs from images of indoor scenes and got satisfactory recognition results.
منابع مشابه
3D 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 کاملInvestigation of the effective factors on manufacturing calcium phosphates prototypes using 3D printing
Calcium phosphate ceramics has been widely used in the present due to their chemical similarity to bone and good biocompatibility in the physiological environmental and a compatibility with synthetic and natural polymers Recent advancements in additive manufacturing have enabled the fabrication of 3D prototypes with controlled architecture resembling the natural bone. Binder jetting is a versat...
متن کاملUrban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data
Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...
متن کاملIncremental GRLVQ: Learning relevant features for 3D object recognition
We present a new variant of Generalized Learning Vector Quantization (GRLVQ) in a computer vision scenario. A version with incrementally added prototypes is used for the non-trivial case of high-dimensional object recognition. Training is based upon a generic set of standard visual features, the learned input weights are used for iterative feature pruning. Thus, prototypes and input space are a...
متن کاملFlexible 3D Object Recognition Framework Using 2D Views via a Similarity-Based Aspect-Graph Approach
This work presents a flexible framework for recognizing 3D objects from 2D views. Similarity-based aspect-graph, which contains a set of aspects and prototypes for these aspects, is employed to represent the database of 3D objects. An incremental database construction method that maximizes the similarity of views in the same aspect and minimizes the similarity of prototypes is proposed as the c...
متن کامل