Paper Info
Title
Recognition of Free-Form Objects in Complex Scenes Using DGI-BS Models
Abstract
Object recognition in 3D scenes with occlusion means identifying an incomplete and unknown object, which is arbitrarily posed, in an object database. This hard computer vision problem is solved in this paper through a new 3D shape representation called Depth Gradient Image Based on Silhouette (DGI-BS). DGI-BS can be used to obtain a complete model as well as a partial model of an object. This property allows us to use it in complex scenes where incomplete surfaces of objects are available. The complete DGI-BS version synthesizes surface information (through depth image) and shape information (through contour) of the whole object in a single image smaller than 1 mega pixel. Object recognition is carried out by means of a simple matching algorithm in the DGI-BS space which yields a correspondence point-to-point between scene and model. This method has been successfully tested in real scenes with no special restrictions using range sensors.
Year
DOI
Venue
2006
10.1109/3DPVT.2006.114
3DPVT
Keywords
Field
DocType
dgi-bs space,complete dgi-bs version synthesizes,incomplete surface,depth image,dgi-bs models,complete model,object recognition,unknown object,complex scenes,whole object,partial model,free-form objects,object database,pixel,layout,point to point,surface reconstruction,histograms,testing,computer vision
Deep-sky object,Computer vision,3D single-object recognition,Pattern recognition,Silhouette,Object model,Scene statistics,Pixel,Artificial intelligence,Blossom algorithm,Mathematics,Cognitive neuroscience of visual object recognition
Conference
ISBN
Citations 
PageRank 
0-7695-2825-2
2
0.44
References 
Authors
18
3
Name
Order
Citations
PageRank
Pilar Merchán16311.05
Antonio Adan2503.75
Santiago Salamanca36311.24