Title
Structure from Motion with Missing Data is NP-Hard
Abstract
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is al- lowed. The result provides a fundamental limitation of what is possible to achieve with any structure from motion algo- rithm. Even though there are recent, promising attempts to compute globally optimal solutions, there is no hope of ob- taining a polynomial time algorithm unless P=NP. The proof proceeds by encoding an arbitrary Boolean formula as a structure from motion problem of polynomial size, such that the structure from motion problem has a zero cost solution if and only if the Boolean formula is satisfi- able. Hence, if there was a guaranteed way to minimize the error of the relevant family of structure from motion prob- lems in polynomial time, the NP-complete problem 3SAT could be solved in polynomial time, which would imply that P=NP. The proof relies heavily on results from both struc- ture from motion and complexity theory.
Year
DOI
Venue
2007
10.1109/ICCV.2007.4409095
ICCV
Keywords
Field
DocType
computational complexity,image coding,image motion analysis,polynomials,Boolean formula,NP-complete problem,NP-hard,arbitrary Boolean formula,encoding,missing data,motion algorithm,polynomial time algorithm
Structure from motion,Cook–Levin theorem,Karp–Lipton theorem,Discrete mathematics,Polynomial,Computer science,Boolean satisfiability problem,co-NP-complete,Time complexity,Computational complexity theory
Conference
Volume
Issue
ISSN
2007
1
1550-5499
Citations 
PageRank 
References 
5
0.50
13
Authors
3
Name
Order
Citations
PageRank
David Nistér12265118.02
Fredrik Kahl2141592.61
Henrik Stewenius32777165.83