Direct construction of polynomial surfaces from dense range images through region growing

1995 ◽  
Vol 14 (2) ◽  
pp. 171-200 ◽  
Author(s):  
Nickolas S. Sapidis ◽  
Paul J. Besl
Keyword(s):  
Region Growing ◽  
Range Images ◽  
Direct Construction ◽  
Dense Range

scholarly journals Geometric and topological lossy compression of dense range images

2000 ◽  
Author(s):  
A.D. Sappa ◽  
M.A. Garcia ◽  
B.X. Vintimilla
Keyword(s):  
Lossy Compression ◽  
Range Images ◽  
Dense Range

A HYBRID METHOD TOWARDS THE SEGMENTATION OF RANGE IMAGES FOR 3-D OBJECT RECOGNITION

1994 ◽  
Vol 08 (04) ◽  
pp. 969-995 ◽  
Author(s):  
DINESH P. MITAL ◽  
EAM KHWANG TEOH ◽  
ALAN W.T. LIM
Keyword(s):  
Image Segmentation ◽  
Object Recognition ◽  
Hybrid Approach ◽  
Region Growing ◽  
Object Identification ◽  
Range Image ◽  
Range Images ◽  
One Dimensional ◽  
Identification Process ◽  
Combine Region

This paper presents a hybrid approach towards accomplishing the task of range image segmentation. It tends to combine region growing and one-dimensional orthogonal polynomial fitting techniques for the detection of edges in range images. Edges detected by such a method possesses good localisation property. This aids to steer the region growing process towards accomplishing accurate border partitioning. In addition, the incorporation of region growing process eliminates internal micro edges and provides for missing border reconstruction as it is able to detect weak edges. It is believed that the edge and segmentation maps produced, when conveyed to the higher level recognition process, may prove valuable not only for CAD based modeling purposes but may also aid to provide descriptive syntax to the object identification process.

Model-based object recognition in dense-range images—a review

1993 ◽  
Vol 25 (1) ◽  
pp. 5-43 ◽  
Author(s):  
Farshid Arman ◽  
J. K. Aggarwal
Keyword(s):  
Object Recognition ◽  
Range Images ◽  
Dense Range ◽  
Model Based

Object Detection in Cluttered Range Images Using Edgel Geometry

2010 ◽  
Vol 130 (9) ◽  
pp. 1572-1580
Author(s):  
Dipankar Das ◽  
Yoshinori Kobayashi ◽  
Yoshinori Kuno
Keyword(s):  
Object Detection ◽  
Range Images

An Examination of the Effects of Noise Level on Methods to Determine Curvature in Range Images

2019 ◽  
Vol 2019 (10) ◽  
pp. 325-1-325-7
Author(s):  
Jacob D Hauenstein ◽  
Timothy S Newman
Keyword(s):  
Noise Level ◽  
Range Images
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