A new hybrid method for 3D object recovery from 2D drawings and its validation against the cubic corner method and the optimisation-based method

Lee, Yong Tsui; Fang, Fen

doi:10.1016/j.cad.2012.06.001

Cited by 18 publications

(11 citation statements)

References 22 publications

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“…Our progressive reconstruction method based on an estimate-and-optimize strategy shares some resemblances to those proposed in [3], [10], and [34], which employ certain geometrical properties to provide an initial guess for the subsequent optimization-based 3D reconstruction. For example, to obtain a preliminary approximation of the object, Lipson and Shpitalni [3] assume that the edges in the line drawing have three main axis directions.…”

Section: Related Workmentioning

confidence: 99%

“…For example, to obtain a preliminary approximation of the object, Lipson and Shpitalni [3] assume that the edges in the line drawing have three main axis directions. The approach of Company et al [10] is applicable only to the input line drawing representing a (quasi-)normalon, while the method proposed by Lee and Fang [34] requires the availability of at least one cubic corner in a desired object. Our approach does not require such special geometrical properties of an underlying object in the line drawing.…”

Section: Related Workmentioning

confidence: 99%

“…In our experiments, we find that ten randomizations plus one zero setting are sufficient to obtain a good 3D shape. It is worth mentioning that if the initial part is a (quasi-)normalon [10] or has a cubic corner [10], [34], [37], there exist more advanced algorithms to derive a more effective initial approximation for the optimization process.…”

Section: D Reconstruction Of Initial Partmentioning

confidence: 99%

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Progressive 3D Reconstruction of Planar-Faced Manifold Objects with DRF-Based Line Drawing Decomposition

Zhang

Chen

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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This paper presents an approach for reconstructing polyhedral objects from single-view line drawings. Our approach separates a complex line drawing representing a manifold object into a series of simpler line drawings, based on the degree of reconstruction freedom (DRF). We then progressively reconstruct a complete 3D model from these simpler line drawings. Our experiments show that our decomposition algorithm is able to handle complex drawings which are challenging for the state of the art. The advantages of the presented progressive 3D reconstruction method over the existing reconstruction methods in terms of both robustness and efficiency are also demonstrated.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: D Reconstruction Of Initial Partmentioning

confidence: 99%

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Progressive 3D Reconstruction of Planar-Faced Manifold Objects with DRF-Based Line Drawing Decomposition

Zhang

Chen

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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“…The recovery of the 3D object from the straight line drawing is done using the hybrid method reported in [Lee and Fang 2012], which combines the cubic corner method with the optimizationbased method to efficiently and effectively produce a polyhedral object that conforms to human perception. Figure 3 shows an example.…”

Section: Reconstruction Of Transformed Line Drawingsmentioning

confidence: 99%

“…(1) Transform the original drawing to one with only straight lines. (2) Recover the 3D polyhedron in the transformed drawing using the hybrid method established by Lee and Fang [2012]. (3) Recover the 3D curves from their straight line approximations and (4) return the planar and curved faces.…”

Section: Reconstructionmentioning

confidence: 99%

3D reconstruction from drawings with straight and curved edges

Fang

Lee

2013

SIGGRAPH Asia 2013 Technical Briefs

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In this paper, we present a method to recover solid objects from 2D drawings with both straight and curved edges. Straight edges are recovered by recovering their end points; curves are recovered by recovering their control points. An input curve is approximated first as two polylines, such that we have a drawing with only straight edges. An effective established method is used to recover the object in this drawing as a planar polyhedron. We then reconstruct the 3D curved edges by recovering their control points using the planar 3D geometry, and then fit curved surfaces over face loops with curved bounding edges. The results of our implementation show that the recovered objects correspond to the human perception of what they should be. However, work remains in producing a measure on the goodness of the result and providing handles to allow the control of the final outcome, as curved surfaces recovered are not unique.

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Geometric Object 3D Reconstruction from Single Line Drawing Image Based on a Network for Classification and Sketch Extraction

Wang

Fang

Wang

2021

Document Analysis and Recognition – ICDAR 2021

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A new hybrid method for 3D object recovery from 2D drawings and its validation against the cubic corner method and the optimisation-based method

Cited by 18 publications

References 22 publications

Progressive 3D Reconstruction of Planar-Faced Manifold Objects with DRF-Based Line Drawing Decomposition

Progressive 3D Reconstruction of Planar-Faced Manifold Objects with DRF-Based Line Drawing Decomposition

3D reconstruction from drawings with straight and curved edges

Geometric Object 3D Reconstruction from Single Line Drawing Image Based on a Network for Classification and Sketch Extraction

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