DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/34.391394
[1] D. Hubel and T. Wiesel,“Receptive fields, binocular interaction and functional architecture inthe cat’s visual cortex.,” J. Physiol. (Lond.), vol. 160, pp. 106-154, 1962.[2] D. Hubel and T. Wiesel,“Receptive fields of single neurones in the cat’s striate cortex.,” J. Physiol. (Lond.), vol. 148, pp. 574-591, 1959.[3] B. Horn,“The binford-horn linefinder,” Technical report, MIT AI Lab. Memo 285, 1971.[4] T. Binford,“Inferring surfaces from images,” Artificial Intelligence, vol. 17, pp. 205-244, 1981.[5] G.H. Granlund,“In search of a general picture processing operator,” Computer Graphics and Image Processing, vol. 8, pp. 155-173, 1978.[6] H. Knuttson and G.H. Granlund,“Texture analysis using two-dimensional quadrature filters,” Workshop on Computer Architecture for Pattern Analysis and Image Database Management, pp. 206-213, IEEE Computer Society, 1983.[7] M. Kass,“Computing visual correspondence,” Proc. Image Understanding Workshop,(McLean, Va.), pp. 54-60, Science Applications, Inc., June 1983.[8] P.J. Burt and E.H. Adelson, “The Laplacian Pyramid as a Compact Image Code,” IEEE Trans. Comm., vol. 31, no. 4, pp. 532-540, 1983.[9] E. Adelson and J. Bergen,“Spatiotemporal energy models for the perception of motion,” J. Opt. Soc. Am., vol. 2, no. 2, pp. 284-299, 1985.[10] J. Canny, “A Computational Approach to Edge Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, June 1986.[11] D. Heeger,“Optical flow from spatiotemporal filters,” Proc. First Int’l Conf. Computer Vision, pp. 181-190, 1987.[12] M. Turner,“Texture discrimination by gabor functions,” Biol. Cybern., vol. 55, pp. 71-82, 1986.[13] M.C. Morrone and R.A. Owens, "Feature Detection From Local Energy," Pattern Recognition Letters, vol. 6, pp. 303-313, 1987.[14] M. Morrone and D. Burr,“A model of human feature detection based on matched filters,” Robots and Biological Systems, P. Dario and G. Sandini, ed., Academic Press, 1990.[15] P. Parent and S.W. Zucker, “Trace Inference, Curvature Consistency and Curve Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 8, pp. 823-839, 1989.[16] I. Fogel and D. Sagi,“Gabor filters as texture discriminators,” Biol. Cybern., vol. 61, pp. 103-113, 1989.[17] J. Malik and P. Perona,“Preattentive texture discrimination with early vision mechanisms,” J. Opt. Soc. Am. A, vol. 7, no. 5, pp. 923-932, 1990. Also appeared as a chapter in Computer vision: advances and applications, R. Kasturi and R. Jain, ed., IEEE Computer Society Press, 1991.[18] A.C. Bovik,M. Clark,, and W.S. Geisler,“Multichannel texture analysis using localized spatial filters,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, pp. 55-73, 1990.[19] S. Zhong and S. Mallat,“Compact image representation from multiscale edges,” Proc. Third Int’l Conf. Computer Vision, IEEE Computer Society, Osaka, 1990.[20] D. Jones and J. Malik,“Computational stereopsis-Beyond zero-crossings,” Invest. Ophtalmol. Vis. Sci. (Supplement), vol. 31, no. 4, p. 529, 1990.[21] D. Jones and J. Malik,“Using orientation and spatial frequency disparities to recover 3d surface shape—A computational model,” Invest. Ophtalmol. Vis. Sci. (Supplement), vol. 32, no. 4, p. 710, 1991.[22] W. T. Freeman and E. H. Adelson,“Steerable filters for early vision, image analysis, and wavelet decomposition,” Proc. of ICCV, pp. 406-415,Osaka, Japan, 1990.[23] P. Perona and J. Malik, "Detecting and Localizing Edges Composed of Steps, Peaks and Roofs," Proc. Third Int'l Conf. Computer Vision,Osaka, Japan, pp. 52-57, 1990.[24] E. Adelson and J. Bergen,“The plenoptic function and the elements of early vision,” Computational Models of Visual Processing, M. Landy and J. Movshon, ed., MIT Press, 1991. Also appeared as MIT-MediaLab-TR148. Sept. 1990.[25] J. Koenderink and A. van Doorn,“Representation of local geometry in the visual system,” Biol. Cybern., vol. 55, pp. 367-375, 1987.[26] J. Koenderink and A. van Doorn,“Receptive field families,” Biol. Cybern., vol. 63, pp. 291-298, 1990.[27] R. Lenz, Group Theoretical Methods in Image Processing. New York: Springer-Verlag, 1990.[28] B.M. ter Haar Romeny,L.M.J. Florack,J.J. Koenderink,, and M.A. Viergever,“Scale-space: its natural operators and differential invariants,” Int’l Conf. Information Processing in Medical Imaging, vol. 511, Lecture Notes in Computer Sciences, pp. 239-255,Springer-Verlag, 1992.[29] J. Daugman,“Uncertainty relation for resolution in space, spatial frequency, andorientation optimized by two-dimensional visual cortical filters,” J. Opt. Soc. Am. A, vol. 2, no. 7, pp. 1160-1169, 1985.[30] J. Daugman,“Two-dimensional spectral analysis of cortical receptive field profiles,” Vis. Research, vol. 20, pp. 847-856, 1980.[31] R. Young,“The gaussian derivative theory of spatial vision: Analysis of corticalcell receptive field line-weighting profiles,” Technical Report GMR-4920, General Motors Research, 1985.[32] M. Morrone and D. Burr,“Feature detection in human vision: a phase dependent energy model,” Proc. R. Soc. Lond. B, vol. 235, pp. 221-245, 1988.[33] D. Jones and J. Malik, “A Computational Framework for Determining Stereo Correspondences from a Set of Linear Spatial Filters,” Proc. Second European Conf. Computer Vision, pp. 395-410, 1992.[34] D. Jones and J. Malik,“Determining 3d shape from orientation and spatial frequncy disparitiesii—Using correspondence image patches,” UCB-CSD 91-657, U.C.Berkeley—CS Dept., Oct, 1991.[35] J. Malik and Z. Gigus,“A model for curvilinear segregation,” Invest. Ophtalmol. Vis. Sci. (Supplement), vol. 32, no. 4, p. 715, 1991.[36] L. Rosenthaler,F. Heitger,R. von der Heydt,, and O. Kübler,“Detecting general edges and keypoints,” Tech. Rep. 130, IKT/Image science lab ETH-Zuerich, 1991.[37] F. Heitger,L. Rosenthaler,R. von der Heydt,E. Peterhans,, and O. Kübler,“Simulation of neural contour mechanismn: From single to end-stopped cell,” Vis. Research, vol. 32, no. 5, pp. 963-981, 1992.[38] J.G. Daugman, “Complete Discrete 2D Gabor Transforms by Neural Networks for Image Analysis and Compression,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 36, no. 7, 1988.[39] M. Morrone,D. Burr,J. Ross,, and R. Owens,“Mach bands depend on spatial phase,” Nature, vol. 324, no. 6094, pp. 250-253, 1986.[40] R. Hummel,“Feature detection using basis functions,” Comp. Vision, Graphics and Image Proc., vol. 9, pp. 40-55, 1979.[41] H. Knuttson,Filtering and reconstruction in image processing. PhD thesis, Linköping Inst. of Tech nology, 1982.[42] J. Bigün, G. Granlund, and J. Wiklund, “Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 8, pp. 775-790, Aug. 1991.[43] W. Freeman and E. Adelson,“Steerable filters,” Topical Meeting on Image Understanding and Machine Vision, vol. 14, Optical Soc. America, technical digest series, Cape Cod, June 1989.[44] W. Freeman and E. Adelson,“Steerable filters for image analysis,” Technical Report 126, MIT, Media Laboratory, 1990.[45] W.T. Freeman and E.H. Adelson, "The Design and Use of Steerable Filters," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, pp. 891-906, 1991.[46] J. Dworak et al., "Enhanced DO-RE-ME Based Defect Level Prediction Using Defect Site Aggregation—MPG-D," Proc. Int'l Test Conf., IEEE CS Press, Los Alamitos, Calif., pp. 930-939.[47] P. Perona and J. Malik,“Boundary detection using quadratic filters: performance criteria andexperimental assessment.,” Proc. SPIE Conf. Applications of Artificial Intelligence, vol. 1708, Orlando, April 1992.[48] E.P. Simoncelli, W.T. Freeman, E.H. Adelson, and D.J. Heeger, “Shiftable Multi-Scale Transforms,” IEEE Trans. Information Theory, vol. 38, no. 2, pp. 587-607, Mar. 1992.[49] P. Perona,“Finite representation of deformable functions,” Tech. Rep. 90-034, Int’l Computer Science Inst., Berkeley, Calif., 1990.[50] P. Perona,“Deformable kernels for early vision,” Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, pp. 222-227,Maui, June 1991.[51] P. Perona,“Deformable kernels for early vision,” Tech. Rep. 2039, LIDS-MIT, Oct. 1991.[52] P. Perona,“Steerable-scalable kernels for edge detection and junctionnalysis,” Second European Conf. Computer Vision, vol. 588, Lecture Notes in Computer Sciences, Springer-Verlag, 1992.[53] G. Choquet,Lectures on Analysis, vol. I. New York: W. A. Benjamin Inc., 1969.[54] J. Dieudonne,Foundations of Modern Analysis.New York: Academic Press, 1969.[55] A. Pinkus,n-Widths in Approximation Theory. Springer Verlag, 1985.[56] S. Treitel and J. Shanks,“The design of multistage separable planar filters,” IEEE Trans. Geosci. Electron., vol. 9, no. 1, pp. 10-27, 1971.[57] W.K. Pratt,“An intelligent image processing display terminal,” Proc. SPIE Tech. Symp., vol 27, San Diego, 1979.[58] R. Deriche and J.-F. Abramatic.,“Design of 2d recursive filters using singular value decomposition techniques,” Proc. ICASSP, 1982.[59] J. Dongarra,C. Moler,J. Bunch,, and G. Stuart,Linpack, User’s Guide. Soc. Industrial and Applied Mathematics, 1972.[60] W. Press,B. Flannery,S. Teukolsky,, and W. Vetterling,Numerical Recipes in C. Cambridge University Press, 1988.[61] J.-F. Abramatic and O. Faugeras,“Sequential convolution techniques for image filtering,” IEEE Trans. Acoustics, Speech, Signal Processing, vol. 30, no. 1, pp. 1-10, 1982.[62] E.P. Simoncelli, W.T. Freeman, E.H. Adelson, and D.J. Heeger, “Shiftable Multi-Scale Transforms,” IEEE Trans. Information Theory, vol. 38, no. 2, pp. 587-607, Mar. 1992.[63] M.H. Hueckel, An Operator which Locates Edges in Digitized Pictures J. ACM, vol. 18, no. 1, pp. 113-125, Jan. 1971.[64] M.H. Hueckel, A Local Visual Operator which Recognizes Edges and Lines J. ACM, vol. 20, no. 4, pp. 634-647, 1973.[65] R. Haralik,“Digital step edges from zero crossing of second directional derivatives,” IEEE Trans. Pattern Analysis and Machine Intelligence., vol. 6, no. 1, pp. 58-68, 1984.[66] W. Rudin,Functional Analysis. McGraw-Hill, 1973.
Index Terms:
Steerable filters, wavelets, early vision, multiresolution image analysis, multirate filtering, deformable filters, scale-space
Citation:
Pietro Perona, "Deformable Kernels for Early Vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 5, pp. 488-499, May 1995, doi:10.1109/34.391394
Usage of this product signifies your acceptance of the
Terms of Use.
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||