Pregled bibliografske jedinice broj: 696106
Using Gradient Orientation to Improve Least Squares Line Fitting
Using Gradient Orientation to Improve Least Squares Line Fitting // Conference on Computer and Robot Vision CRV 2014 / Juan E. Guerrero (ur.).
Montréal: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 226-231 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 696106 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Gradient Orientation to Improve Least Squares Line Fitting
Autori
Petković, Tomislav ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Conference on Computer and Robot Vision CRV 2014
/ Juan E. Guerrero - Montréal : Institute of Electrical and Electronics Engineers (IEEE), 2014, 226-231
ISBN
78-1-4799-4338-8
Skup
Conference on Computer and Robot Vision
Mjesto i datum
Montréal, Kanada, 06.05.2014. - 09.05.2014
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
line fitting; line normal; image gradient
Sažetak
Straight line fitting is an important problem in computer and robot vision. We propose a novel method for least squares line fitting that uses both the point coordinates and the local gradient orientation to fit an optimal line by minimizing the proposed algebraic distance. The proposed inclusion of gradient orientation offers several advantages: (a) one data point is sufficient for the line fit, (b) for the same number of points the fit is more precise due to inclusion of gradient orientation, and (c) outliers can be rejected based on the gradient orientation or the distance to line.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
ACROSS
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
