Paper Info
Title
Multi-scale feature matching between 2D image and 3D model
Abstract
Although high performance scanners and design tools are rapidly developed, users still suffer from generating desired 3D contents. Furthermore, it requires advanced skills of design tools and considerable times to produce a satisfactory result. Recently, being motivated by these shortcomings of 3D content generation, various approaches have been studied to generate and manipulate a 3D content conveniently. One of them is using 2D input data such as sketches and real photos to handle the 3D templates. Since this approach is intuitive to the users, it can be efficiently used to manipulate existing 3D contents. Moreover, a large number of new 3D contents can be created by using billions of existing 2D images on online.
Year
DOI
Venue
2013
10.1145/2542302.2542320
SIGGRAPH Asia 2013 Posters
Keywords
Field
DocType
input data,considerable time,real photo,content generation,large number,design tool,various approach,high performance scanner,advanced skill,satisfactory result,3d reconstruction,metropolis hastings
Computer vision,Content generation,Computer graphics (images),Metropolis–Hastings algorithm,Computer science,Feature matching,Artificial intelligence,Template,3D reconstruction
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Yong Yi Lee124.55
Min ki Park2313.94
Jae Doug Yoo3162.33
Kwan H. Lee414829.48