References - Vision with Direction - page 374

176. G. Osterberg. Topography of the layer of rods and cones in the human retina. Acta
Ophtalmologica (Supplementum) , 6(1):11-97, 1935.
177. P.L. Palmer, M. Petrou, and J. Kittler. A Hough transform algorithm with a 2D hypoth-
esis testing kernel. Computer Vision, Graphics, and Image Processing. Image Under-
standing , 58(2):221-234, 1993.
178. T.V. Papathomas and B. Julesz. Lie differential operators in animal and machine vision.
In J.C. Simon, editor, From pixels to features , pages 115-126. Elsevier, 1989.
179. F. Pedersen, M. Bergstrom, E. Bengtsson, and B. Langstrom. Principal component anal-
ysis of dynamic positron emission tomography images. European Journal of Nuclear
Medicine , 21(12):1285-1292, 1994.
180. P. Perona. Steerable-scalable kernels for edge detection and junction analysis. In G. San-
dini, editor, Computer Vision—ECCV 1992 , LNCS 588, pages 3-18, Springer, Heidel-
berg, 1992.
181. D.I. Perrett, P.A. Smith, D.D. Potter, A. Mistlin, A.S. Head, A.D. Milner, and M.A.
Jeeves. Visual cells in the temporal cortex sensitive to face view and gaze direction.
Proc. of the Royal Society of London, Series B , 223:293-317, 1985.
182. M. Persson and J. Bigun. Detection of spots in 2-d electrophoresis gels by symmetry
features. In S. Singh et al., editor, Pattern Recognition and Data Mining—ICAPR 2005 ,
LNCS 3686, pages 436-445, Springer, Heidelberg, 2005.
183. J. Piper and E. Granum. Computing distance transformations in convex and non-convex
domains. Pattern Recognition , 20(6):599-615, 1987.
184. I. Pitas and A.N. Venetsanopoulos. Shape decomposition by mathematical morphology.
In First International Conference on Computer Vision, ICCV, London, June 8-11 , pages
621-625. IEEE Computer Society, Washington, DC,, 1987.
185. I. Pitas and A.N. Venetsanopoulos. Nonlinear Digital Filters: Principles and Applica-
tions . Kluwer Academic, 1990.
186. H.L. Premaratne and J. Bigun. A segmentation-free approach to recognise printed sin-
hala script using linear symmetry. Pattern Recognition , 37:2081-2089, 2004.
187. R. P. N. Rao, G. J. Zelinsky, M. M. Hayhoe, and D. H. Ballard. Eye movements in visual
cognition: a computational study. Technical Report 97.1, National Resource Laboratory
for the Study of Brain and Behaviour, 1997.
188. S.S. Reddi. Radial and angular invariants for image identification. IEEE-PAMI ,

3(2):240-242, 1981.
189. R.C. Reid and J.M. Alonso. Specificity of monosynaptic connections from thalamus to
visual cortex. Nature , 378:281-284, 1995.
190. T.H. Reiss. The revised fundamental theorem of moment invariants. IEEE-PAMI ,

13(8):830-834, 1991.
191. H. Romesburg. Cluster Analysis for Researchers . Lifetime Learning, Belmont, 1984.
192. A. Rosenfeld and A.C. Kak. Digital Picture Processing . Academic Press, Inc., Orlando,
USA, 1982.
193. W. Rudin. Real and complex analysis . Mc Graw-Hill, New York, 1987.
194. G. Sandini and M. Tistarelli. Recovery of depth information: Camera motion as an
integration to stereo. In Workshop on Motion: Representation and Analysis Charleston,
SC, May 7-9 , pages 39-43. IEEE, 1986.
195. P. Schroeter and J. Bigun. Hierarchical image segmentation by multi-dimensional clus-
tering and orientation adaptive boundary refinement. Pattern Recognition , 28(5):695-
709, 1995.
196. E.L. Schwartz. Computational anatomy and functional architecture of striate cortex: A
spatial mapping approach to perceptual coding. Visual Research , 20, 1980.