Three-dimensional description of symmetric objects from range images

1991 ◽  
Author(s):  
Nicolas Alvertos ◽  
Ivan D'Cunha
Keyword(s):  
Three Dimensional ◽  
Range Images

A SURFACE FEATURE ATTRIBUTED HYPERGRAPH REPRESENTATION FOR 3-D OBJECT RECOGNITION

1995 ◽  
Vol 09 (06) ◽  
pp. 869-909 ◽  
Author(s):  
SUCHENDRA M. BHANDARKAR
Keyword(s):  
Three Dimensional ◽  
Surface Feature ◽  
Range Image ◽  
Object Model ◽  
Range Images ◽  
Matching Algorithm ◽  
Three Dimensional Objects ◽  
Hypergraph Matching ◽  
Initial Segmentation ◽  
Model Database

A surface feature hypergraph (SFAHG) representation is proposed for the recognition and localization of three-dimensional objects. The hypergraph representation is shown to be viewpoint independent thus resulting in substantial savings in terms of memory for the object model database. The resulting hypergraph matching algorithm integrates both, relational and the rigid pose constraint in a consistent unified manner. The matching algorithm is also shown to have a polynomial order of complexity even in multiple-object scenes with instances of objects partially occluding each other. An algorithm for incrementally constructing the hypergraph representation of an object model from range images of the object taken from different viewpoints is also presented. The hypergraph matching and the hypergraph construction algorithms are shown to be capable of correcting errors in the initial segmentation of the range image. The hypergraph construction algorithm and the matching algorithm are tested on range images of scenes containing multiple three-dimensional objects with partial occlusion.

Detection of three-dimensional objects based on phase-encoded range images

2004 ◽  
Author(s):  
Javier Garcia Monreal ◽  
Jose J. Esteve-Taboada ◽  
Jose J. Valles ◽  
Carlos Ferreira
Keyword(s):  
Three Dimensional ◽  
Range Images ◽  
Three Dimensional Objects

Best-next-view algorithm for three-dimensional scene reconstruction using range images

1995 ◽  
Author(s):  
J. E. Banta ◽  
Yu Zhien ◽  
X. Z. Wang ◽  
G. Zhang ◽  
M. T. Smith ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Scene Reconstruction ◽  
Range Images

scholarly journals DEVELOPMENT OF INTEGRATION AND ADJUSTMENT METHOD FOR SEQUENTIAL RANGE IMAGES

2015 ◽  
Vol XL-4/W5 ◽  
pp. 177-181
Author(s):  
K. Nagara ◽  
T. Fuse
Keyword(s):  
Point Cloud ◽  
Integration Method ◽  
Three Dimensional ◽  
Real Data ◽  
Bundle Adjustment ◽  
Single Shot ◽  
Range Image ◽  
Range Images ◽  
Error Adjustment ◽  
Iterative Closest Point Algorithm

With increasing widespread use of three-dimensional data, the demand for simplified data acquisition is also increasing. The range camera, which is a simplified sensor, can acquire a dense-range image in a single shot; however, its measuring coverage is narrow and its measuring accuracy is limited. The former drawback had be overcome by registering sequential range images. This method, however, assumes that the point cloud is error-free. In this paper, we develop an integration method for sequential range images with error adjustment of the point cloud. The proposed method consists of ICP (Iterative Closest Point) algorithm and self-calibration bundle adjustment. The ICP algorithm is considered an initial specification for the bundle adjustment. By applying the bundle adjustment, coordinates of the point cloud are modified and the camera poses are updated. Through experimentation on real data, the efficiency of the proposed method has been confirmed.

Sign in / Sign up

Export Citation Format

Share Document