A review of geometry recovery from a single image focusing on curved object reconstruction
Oswald MR, Töppe E, Nieuwenhuis C, Cremers D (2013)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2013
Publisher: Springer Heidelberg
Series: Mathematics and Visualization
Book Volume: 0
Pages Range: 343-378
DOI: 10.1007/978-3-642-34141-0_16
Abstract
Single view reconstruction approaches infer the structure of 3D objects or scenes from 2D images. This is an inherently ill-posed problem. An abundance of reconstruction approaches has been proposed in the literature, which can be characterized by the additional assumptions they impose to make the reconstruction feasible. These assumptions are either formulated by restrictions on the recon-structable object domain, by geometric or learned shape priors or by requiring user input. In this chapter, we examine a representative set of state-of-the-art reconstruction approaches, which are applicable to real-world images. We classify the approaches according to their reconstruction objective and compare them based on a variety of important criteria. Finally, we show experimental comparisons for five curved object reconstruction approaches.
Involved external institutions
Germany (DE)How to cite
APA:
Oswald, M.R., Töppe, E., Nieuwenhuis, C., & Cremers, D. (2013). A review of geometry recovery from a single image focusing on curved object reconstruction. In Michael BreuB, Petros Maragos, Alfred Bruckstein (Eds.), (pp. 343-378). Springer Heidelberg.
MLA:
Oswald, Martin R., et al. "A review of geometry recovery from a single image focusing on curved object reconstruction." Ed. Michael BreuB, Petros Maragos, Alfred Bruckstein, Springer Heidelberg, 2013. 343-378.
BibTeX: Download