DocumentCode
2462501
Title
Structure from Motion with Missing Data is NP-Hard
Author
Nistér, David ; Kahl, Fredrik ; Stewénius, Henrik
Author_Institution
Microsoft Live Labs, Oakland
fYear
2007
fDate
14-21 Oct. 2007
Firstpage
1
Lastpage
7
Abstract
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possible to achieve with any structure from motion algorithm. Even though there are recent, promising attempts to compute globally optimal solutions, there is no hope of obtaining 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 satisfiable. Hence, if there was a guaranteed way to minimize the error of the relevant family of structure from motion problems 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 structure from motion and complexity theory.
Keywords
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; Cameras; Complexity theory; Data visualization; Encoding; Length measurement; NP-complete problem; Polynomials; Size measurement; Turing machines; Virtual environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location
Rio de Janeiro
ISSN
1550-5499
Print_ISBN
978-1-4244-1630-1
Electronic_ISBN
1550-5499
Type
conf
DOI
10.1109/ICCV.2007.4409095
Filename
4409095
Link To Document