Leavers, V.F.,
Shape Detection In Computer Vision Using The Hough Transform, Springer,
BERLIN(92), pp. 1992.
BibRef
Leavers, V.F.,
The Dynamic Generalized Hough Transform: Its Relationship To The Probabilistic Hough Transforms And An Application To The Concurrent Detection Of Circles And Ellipses,
IU(56), 1992, pp. 381-398.
BibRef
Princen, J.,
Illingworth, J.,
Kittler, J.,
A Formal Definition Of The Hough Transform: Properties And Relationships,
JMIV(1), 1992, pp. 153-168.
BibRef
Kierkegaard, P.,
A Method For Detection Of Circular Arcs Based On The Hough Transform,
MVA(5), 1992, pp. 249-263.
BibRef
Albanesi, M.G.,
Ferretti, M.,
Shape Detection With Limited Memory,
PR(24), 1991, pp. 1153-1166.
BibRef
Dave, R.N.,
Generalized Fuzzy C-Shells Clustering And Detection Of Circular And Elliptical Boundaries,
PR(25), 1992, pp. 713-721.
BibRef
Bhandarkar, S.M.,
Suk, M.,
Qualitative Features And The Generalized Hough Transform,
PR(25), 1992, pp. 987-1006.
BibRef
Yip, R.K.K.,
Tam, P.K.S.,
Leung, D.N.K.,
Modification Of Hough Transform For Circles And Ellipses Detection Using A 2-Dimensional Array,
PR(25), 1992, pp. 1007-1022.
BibRef
97
Vinod, V.V.,
Chaudhury, S.,
Ghose, S.,
Mukherjee, J.,
A Connectionist Approach For Peak Detection In Hough Space,
PR(25), 1992, pp. 1253-1264.
BibRef
Lapsa, P.M.,
Efficient Multidimensional Transformation From Data Space To Parameter Space,
PRL(13), 1992, pp. 63-72.
BibRef
Thomas, A.D.H.,
Compressing The Parameter Space Of The Generalised Hough Transform,
PRL(13), 1992, pp. 107-112.
BibRef
Davies, E.R.,
Locating Objects From Their Point Features Using An Optimized Hough-Like Accumulation Technique,
PRL(13), 1992, pp. 113-121.
BibRef
Kavianpour, A.,
Bagherzadeh, N.,
Finding Circular Shapes In An Image On A Pyramid Architecture,
PRL(13), 1992, pp. 843-848.
BibRef
Berenyi, H.M.,
Leavers, V.F.,
Burge, R.E.,
Automatic Detection Of Targets Against Cluttered Backgrounds Using A Fractal-Oriented Statistical Analysis And Radon Transform,
PRL(13), 1992, pp. 869-877.
BibRef
Atiquzzaman, M.,
Multiresolution Hough Transform-An Efficient Method Of Detecting Patterns In Images,
T-PAMI(14), 1992, pp. 1090-1095.
BibRef
Califano, A.,
Bolle, R.M.,
The Multiple Window Parameter Transform,
T-PAMI(14), 1992, pp. 1157-1170.
BibRef
Cappellini, V.,
Fini, S.,
Harrigan, E.,
Mecocci, A.,
Circular Shape Detection In Remote Sensing Multispectral Images,
VF(92), pp. 119-126.
BibRef
da Fontoura Costa, L.,
Sandler, M.B.,
Detecting Digital Straight Line Segments In O(N[2]),
VF(92), pp. 165-174.
BibRef
Wolfson, H.J.,
On The Recognition Of Articulated Objects (Generalizing The Generalized Hough Transform),
VF(92), pp. 603-612.
BibRef
Kender, J.R.,
Kjeldsen, R.,
On Seeing Spaghetti-A Novel Self-Adjusting Seven Parameter Hough Space For Analyzing Flexible Extruded Objects,
IUW(92), pp. 585-591.
BibRef
Westin, C.F.,
Knutsson, H.,
The Mobius Strip Parameterization For Line Extraction,
ECCV(92), pp. 33-37.
BibRef
Roth, G.,
Levine, M.D.,
Geometric Primitive Extraction Using A Genetic Algorithm,
CVPR(92), pp. 640-643.
BibRef
98
Xu, L.,
Oja, E.,
Further Developments On Rht: Basic Mechanisms, Algorithms, And Computational Complexities,
ICPR(A), pp. 125-128.
BibRef
Wada, T.,
Matsuyama, T.,
\-C Hough Transform-Elimination Of Quantization Noise And Linearization Of Voting Curves In The K-O Parameter Space,
ICPR(C), pp. 272-275.
BibRef
Palmer, P.L.,
Kittler, J.,
Petrou, M.,
A Hough Transform Algorithm With A 2d Hypothesis Testing Kernel,
ICPR(C), pp. 276-279.
BibRef
Morimoto, M.,
Akamatsu, S.,
Suenaga, Y.,
A High-Resolution Hough Transform Using Variable Filter,
ICPR(C), pp. 280-284.
BibRef
Lee, H.M.,
Kittler, J.,
Wong, K.C.,
Generalised Hough Transform In Object Recognition,
ICPR(C), pp. 285-289.
BibRef
Hu, Z.,
Destine, J.,
Performance Comparison Of Line Parametrizations,
ICPR(C), pp. 335-338.
BibRef
Davies, E.R.,
A Framework For Designing Optimal Hough Transform Implementations,
ICPR(C), pp. 509-512.
BibRef
Hu, Z.,
Destine, J.,
Parameter Density Analysis In Hough Space,
ICPR(C), pp. 642-645.
BibRef
Chapter on Rosenfeld Bibliography for 1992 continues in
I.4. Stereo .