Balloon Shapes: Reconstructing and Deforming Objects with Volume from Images
By Sara Alexandra Gomes Vicente, Lourdes de Agapito. 2013
43 citations recorded by the source corpus.
Subfields: Aerospace Engineering, 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 Aerospace Engineering
- Jitendra Malik
- Shubham Tulsiani
- João Carreira
- Angjoo Kanazawa
- Abhishek Kar
- David W. Jacobs
- Andrea Vedaldi
- Michael J. Black
In Computer Vision and Pattern Recognition
- Jitendra Malik
- Luc Van Gool
- Andrea Vedaldi
- Ming-Hsuan Yang
- Andrew Zisserman
- Dacheng Tao
- Trevor Darrell
- Xiaogang Wang
Citations in the corpus
- Lifting Object Detection Datasets into 3D (2015, background): “The same symmetry principle was also used, albeit more lightly, in [48] where the focus was on coping with deformations.”
- Category-specific object reconstruction from a single image (2014, methodology): “Energies similar to ours have been proposed in the shape-from-silhouette literature [37] and with rigid structure-from-motion [36] but, to the best of our knowledge, not in conjunction with NRSfM.”
- Learning Category-Specific Deformable 3D Models for Object Reconstruction (2017, methodology): “Energies similar to ours have been proposed in the shape-from-silhouette [47] and rigid structure-frommotion [23] literature but, to the best of our knowledge, not in conjunction with NRSfM.”
- 3D Menagerie: Modeling the 3D Shape and Pose of Animals (2016, background): “Vi-cente and Agapito [29] extract a template from a reference image and then deforms it to fit a new image using key-points and the silhouette.”