nD Object Representation and Detection from Single 2D Line Drawing

Li, Hongbo; Wang, Quan; Zhao, Lan; Chen, Ying; Huang, Lei

doi:10.1007/11499251_26

Cited by 6 publications

(7 citation statements)

References 12 publications

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“…We also assume that all the faces of the manifold have been identified from its input line drawing. Face identification from line drawings with hidden lines visible has been studied extensively [1], [6], [7], [8], [12], [13], [14], [30], and the algorithms developed in [7] and [30] can be used to find the faces from a line drawing. For better understanding the content in the following sections, we here summarize the terms that appear in the rest of the paper.…”

Section: Assumptions and Terminologymentioning

confidence: 99%

See 1 more Smart Citation

Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction

Liu

Chen

Tang

2011

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-3D object reconstruction from a single 2D line drawing is an important problem in computer vision. Many methods have been presented to solve this problem, but they usually fail when the geometric structure of a 3D object becomes complex. In this paper, a novel approach based on a divide-and-conquer strategy is proposed to handle the 3D reconstruction of a planar-faced complex manifold object from its 2D line drawing with hidden lines visible. The approach consists of four steps: 1) identifying the internal faces of the line drawing, 2) decomposing the line drawing into multiple simpler ones based on the internal faces, 3) reconstructing the 3D shapes from these simpler line drawings, and 4) merging the 3D shapes into one complete object represented by the original line drawing. A number of examples are provided to show that our approach can handle 3D reconstruction of more complex objects than previous methods.Index Terms-3D reconstruction, divide and conquer, internal face, line drawing, manifold.

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Section: Assumptions and Terminologymentioning

confidence: 99%

“…This information can greatly reduce the complexity of the reconstruction. Face identification is not a trivial problem, and many methods have been proposed to find faces from a line drawing [1], [6], [7], [8], [12], [13], [14], [30].…”

Section: Introduction and Related Workmentioning

confidence: 99%

Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction

Liu

Chen

Tang

2011

IEEE Trans. Pattern Anal. Mach. Intell.

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“…Finding the faces from a line drawing is not a trivial problem. Much effort has been made in this area [2], [3], [15], [18], [21], [22], [23], [31].…”

Section: Related Workmentioning

confidence: 99%

3D reconstruction of curved objects from single 2D line drawings

Wang

Chen

Liu

et al. 2009

2009 IEEE Conference on Computer Vision and Pattern Recognition

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An important research area in computer vision is developing algorithms that can reconstruct the 3D surface of an object represented by a single 2D line drawing. Previous work on 3D reconstruction from single 2D line drawings focuses on objects with planar faces. In this paper, we propose a novel approach to the reconstruction of solid objects that have not only planar but also curved faces. Our approach consists of four steps: (1) identifying the curved faces and planar faces in a line drawing, (2) transforming the line drawing into one with straight edges only, (3) reconstructing the 3D wireframe of the curved object from the transformed line drawing and the original line drawing, and (4) generating the curved faces with Bezier patches and triangular meshes. With a number of experimental results, we demonstrate the ability of our approach to perform curved object reconstruction successfully. 1834 978-1-4244-3991-1/09/$25.00 ©2009 IEEE

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“…Finding the faces from a line drawing is not a trivial problem. Much effort has been made in this area [2], [3], [15], [18], [21], [22], [23], [31]. 3D reconstruction from a line drawing is usually formulated as an optimization problem using some regularities.…”

Section: Related Workmentioning

confidence: 99%

“…This is reasonable because given a 2D curve in a line drawing, we interpret it as a 3D planar curve in most cases. There have been a number of algorithms developed for face identification from line drawings such as [18] and [22], as mentioned in Section 2. This is not the focus of this paper and is why we have the third assumption.…”

Section: Assumptions and Terminologymentioning

confidence: 99%