Vanishing point detection with an intersection point neighborhood

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5810 LNCS, Issue , 2009, Pages 132-143

  Schmitt, Frank ^a   Priese, Lutz ^a  

^a University of Koblenz   (Germany)

Author keywords

Image analysis; Intersection points; Measurable lines; Vanishing points

Indexed keywords

DIGITAL IMAGE; INTERSECTION POINTS; MEASURABLE LINES; SPARSE IMAGES; VANISHING POINT; VANISHING POINT DETECTION;

GEOMETRY;

IMAGE ANALYSIS;

EID: 77952610433     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04397-0_12     Document Type: Conference Paper

References (7)

1. Priese, L., Schmitt, F., Hering, N.: Grouping of semantically similar image positions. In: Salberg, A.-B., Hardeberg, J.Y., Jenssen, R. (eds.) SCIA 2009. LNCS, vol.5575, pp. 726-734. Springer, Heidelberg (2009)
2. Seo, K.S., Lee, J.H., Choi, H.M.: An efficient detection of vanishing points using inverted coordinates image space. Pattern Recogn. Lett. 27(2), 102-108 (2006)
3. Almansa, A., Desolneux, A., Vamech, S.: Vanishing point detection without any a priori information. IEEE Trans. Pattern Anal. Mach. Intell. 25(4), 502-507 (2003)
4. Rother, C.: A new approach for vanishing point detection in architectural environments. In: Proc. 11th British Machine Vision Conference, pp. 382-391 (2000)
5. Rehrmann, V., Priese, L.: Fast and robust segmentation of natural color scenes. In: Chin, R., Pong, T.-C. (eds.) ACCV 1998. LNCS, vol.1351, pp. 598-606. Springer, Heidelberg (1997)
6. Leavers, V.F., Boyce, J.F.: The radon transform and its application to shape parametrization in machine vision. Image Vision Comput. 5(2), 161-166 (1987)
7. Zhang, B., Hsu, M., Dayal, U.: K-harmonic means - a spatial clustering algorithm with boosting. In: Roddick, J., Hornsby, K.S. (eds.) TSDM 2000. LNCS (LNAI), vol.2007, pp. 31-45. Springer, Heidelberg (2001) .