Single View Reconstruction of Curved Surfaces

By Mukta Prasad, Andrew William Fitzgibbon. 2006

140 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. João Carreira
2. Lourdes de Agapito
3. Sara Alexandra Gomes Vicente
4. Jorge P. Batista
5. Marshall F. Tappen
6. Edward H. Adelson
7. Nathaniel R. Twarog
8. Andrew Zisserman

In Computer Graphics and Computer-Aided Design

1. João Carreira
2. Lourdes de Agapito
3. Sara Alexandra Gomes Vicente
4. Jorge P. Batista
5. Edward H. Adelson
6. Andrew Zisserman
7. Marshall F. Tappen
8. Nathaniel R. Twarog

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Andrew Zisserman
4. Andrea Vedaldi
5. Ming-Hsuan Yang
6. Dacheng Tao
7. Trevor Darrell
8. Xiaogang Wang

Citations in the corpus

• Lifting Object Detection Datasets into 3D (2015, methodology): “Related methods, but employing parametric classifiers, have also been successfully used for scene reconstruction from a single image [28], [29], [30].”
• Inferring 3D Shapes and Deformations from Single Views (2010, background): “[1] have tackled reconstruction of curved objects, requiring user interactions to reduce down complexity of 3D object topology.”
• Completing 3D object shape from one depth image (2015, background): “, [24, 30]) or blocky structures [40], or require substantial user interaction (e.”
• Relative Volume Constraints for Single View 3D Reconstruction (2013, background): “Our approach is mostly in the line of [12] and [14] since we reconstruct closed curved objects with the help of user interaction.”
• Playing with Puffball: simple scale-invariant inflation for use in vision and graphics (2012, methodology): “…et al. 2004; Igarishi et al. 1999; Karpenko et al. 2002; Tai et al. 2004]; it has also been integrated with user input in systems tackling the problem of single-view reconstruction [Oswald et al. 2009; Prasad et al. 2006; Terzopoulos et al. 1987; Terzopoulus and Witkin 1988; Zhang et al. 2002].”
• Finding nemo: Deformable object class modelling using curve matching (2010, methodology): “In each image n, a different number fn of unique 2D curves can be easily extracted as illustrated in fig.”
• What Shape Are Dolphins? Building 3D Morphable Models from 2D Images (2013, unknown): “Prasad et al. [10] show how geometry images [18] allow complex topologies to be recovered using a globally convergent quadratic energy minimization.”