4.8.3 Grouping, Lines and Curves

O'Callaghan, J.F.,
Computing the Perceptual Boundaries of Dot Patterns,
CGIP(3), No. 2, June 1974, pp. 141-162.
Elsevier DOI BibRef 7406
And:
A Model for Recovering Perceptual Organizations from Dot Patterns,
ICPR76(294-298). BibRef

O'Callaghan, J.F.,
Recovery of Perceptual Shape Organizations from Simple Closed Boundaries,
CGIP(3), No. 4, December 1974, pp. 300-312.
Elsevier DOI BibRef 7412

Horn, B.K.P.,
The Curve of Least Energy,
TMS(9), No. 4, 1983, pp. 441-460. BibRef 8300

Chen, Y.S.[Yung-Sheng], Hsu, W.H.[Wen-Hsing],
An interpretive model of line continuation in human visual perception,
PR(22), No. 5, 1989, pp. 619-639.
Elsevier DOI 0309
BibRef

Chen, Y.S.[Yung-Sheng], Chang, S.L.[Shih-Liang], Hsu, W.H.[Wen-Hsing],
An improved line continuation model in human visual perception,
PR(26), No. 6, June 1993, pp. 825-842.
Elsevier DOI 0401
Closure and selective attention. BibRef

Khan, G.N.[Gul N.], Gillies, D.F.[Duncan F.],
Extracting Contours by Perceptual Grouping,
IVC(10), No. 2, March 1992, pp. 77-88.
Elsevier DOI Hierarchical grouping. BibRef 9203

Huttenlocher, D.P., and Wayner, P.C.,
Finding Convex Edge Groupings in an Image,
IJCV(8), No. 1, July 1992, pp. 7-27.
Springer DOI BibRef 9207 CVPR91(406-412).
IEEE DOI Find groups of edges that arise from a convex object, uses a convexity graph. BibRef

Saund, E.[Eric],
Identifying Salient Circular Arcs on Curves,
CVGIP(58), No. 3, November 1993, pp. 327-337.
DOI Link BibRef 9311

Rao, K.[Kashi],
System and method for ranking and extracting salient contours for target recognition,
US_Patent5,210,799, May 11, 1993
WWW Link. BibRef 9305

Jacobs, D.W.,
Robust and Efficient Detection of Salient Convex Groups,
PAMI(18), No. 1, January 1996, pp. 23-37.
IEEE DOI Code, Convex Grouping. Code:
WWW Link. BibRef 9601
Earlier:
Robust and efficient detection of convex groups,
CVPR93(770-771).
IEEE DOI Groupings of line segments into convex objects. For finding m groups in n lines, the algorithm is (n^2)log(n)+nm BibRef

Elder, J.H., Zucker, S.W.,
A Measure of Closure,
Vision Research(34), No. 24, 1994, pp. 3361-3370. BibRef 9400

Elder, J.H., Zucker, S.W.,
Computing Contour Closure,
ECCV96(I:399-412).
Springer DOI Grouping that leads to closed contours. BibRef 9600

Gross, A., Hartley, R., Rosenfeld, A.,
A Fast Parallel Algorithm for Dot Linking in Glass Patterns,
PRL(3), 1985, pp. 263-270. BibRef 8500

Guy, G.[Gideon], and Medioni, G.G.[Gerard G.],
Inferring Global Perceptual Contours from Local Features,
IJCV(20), No. 1/2, 1996, pp. 113-133. BibRef 9600 USC Computer Vision
PDF File. BibRef
Earlier: CVPR93(786-787).
IEEE DOI BibRef
And: DARPA93(881-892). Perceptual grouping using saliency measures for endpoints, etc. BibRef

Guy, G., Medioni, G.,
Perceptual Grouping Using Global Saliency-Enhancing Operators,
ICPR92(I:99-103).
IEEE DOI BibRef 9200 USC Computer Vision
PDF File. BibRef

Syeda-Mahmood, T.F.,
Data Driven and Model Driven Selection Using Parallel Line Groups,
CVIU(67), No. 3, September 1997, pp. 205-222.
DOI Link 9710

See also Data and Model-Driven Selection Using Color Regions. BibRef

Syeda-Mahmood, T.F.[Tanveer Fathima],
Data and Model-Driven Selection Using Closely-Spaced Parallel-Line Groups,
CVPR94(881-886).
IEEE DOI BibRef 9400
And:
Data and Model-Driven Selection Using Parallel-Line Groups,
MIT AI Memo-1399, May 1993.
WWW Link. BibRef
Earlier:
Model Driven Selection using Texture,
BMVC93(xx).
PDF File. BibRef

Syeda-Mahmood, T.F.[Tanveer Fathima],
Attentional Selection in Object Recognition,
MIT AI-TR-1420, February 1993.
WWW Link. BibRef 9302

Ip, H.H.S., Wong, W.H.,
Detecting Perceptually Parallel Curves: Criteria and Force Driven Optimization,
CVIU(68), No. 2, November 1997, pp. 190-208.
DOI Link 9712
BibRef

Van Gool, L.J.[Luc J.], Proesmans, M.[Marc], Zisserman, A.[Andrew],
Planar Homologies as a Basis for Grouping and Recognition,
IVC(16), No. 1, January 30 1998, pp. 21-26.
Elsevier DOI 9803
BibRef

Van Gool, L.J.[Luc J.], Moons, T.[Theo], Proesmans, M.[Marc],
Groups for grouping: a strategy for the exploitation of geometrical constaints,
CAIP95(1-8).
Springer DOI 9509
BibRef

Van Gool, L.J.[Luc J.],
Projective Subgroups for Grouping,
Royal(356), No. 1740, 1998, pp. 1251-1266. Mathematical, physical and engineering sciences. BibRef 9800

Turina, A., Tuytelaars, T., Van Gool, L.J.[Luc J.],
Efficient Grouping under Perspective Skew,
CVPR01(I:247-254).
IEEE DOI 0110
BibRef

Turina, A., Tuytelaars, T., Moons, T., Van Gool, L.J.,
Grouping via the Matching of Repeated Patterns,
ICAPR01(250-259). BibRef 0100

Heitger, F.[Friedrich], von der Heydt, R.[Rüdiger], Peterhans, E.[Esther], Rosenthaler, L.[Lukas], Kübler, O.[Olaf],
Simulation of Neural Contour Mechanisms: Representing Anomalous Contours,
IVC(16), No. 6-7, May 18 1998, pp. 407-421.
Elsevier DOI 9806
BibRef

Humphreys, G.W., Free, L., Gilchrist, I.D.,
Psychophysical Analyses of Contour Processing in Humans: The Case for Qualitative Tests,
IVC(16), No. 6-7, May 18 1998, pp. 499-509.
Elsevier DOI 9806
BibRef

Regazzoni, C.S., Venetsanopoulos, A.N.,
Group-Membership Reinforcement for Straight Edges Based on Bayesian Networks,
IP(7), No. 9, September 1998, pp. 1321-1339.
IEEE DOI 9809
BibRef

Ralescu, A.L.[Anca L.], Shanahan, J.G.[James G.],
Perceptual organization for inferring object boundaries in an image,
PR(32), No. 11, November 1999, pp. 1923-1933.
Elsevier DOI Initial line segments, groups them. BibRef 9911

Saund, E.[Eric],
Perceptual Organization of Occluding Contours of Opaque Surfaces,
CVIU(76), No. 1, October 1999, pp. 70-82.
DOI Link BibRef 9910
Earlier:
Perceptual Organization of Occluding Contours Generated by Opaque Surfaces,
CVPR99(II: 624-630).
IEEE DOI BibRef

Lee, M.S.[Mi-Suen], Medioni, G.[Gérard],
Grouping ., -, -->, 0, into Regions, Curves, and Junctions,
CVIU(76), No. 1, October 1999, pp. 54-69. BibRef 9910 USC Computer Vision
DOI Link
PDF File. BibRef

Crevier, D.[Daniel],
A Probabilistic Method for Extracting Chains of Collinear Segments,
CVIU(76), No. 1, October 1999, pp. 36-53.
DOI Link BibRef 9910

Casadei, S.[Stefano], Mitter, S.[Sanjoy],
Beyond the Uniqueness Assumption: Ambiguity Representation and Redundancy Elimination in the Computation of a Covering Sample of Salient Contour Cycles,
CVIU(76), No. 1, October 1999, pp. 19-35.
DOI Link BibRef 9910

August, J.[Jonas], Siddiqi, K.[Kaleem], Zucker, S.W.[Steven W.],
Contour Fragment Grouping and Shared, Simple Occluders,
CVIU(76), No. 2, November 1999, pp. 146-162.
DOI Link 9911
BibRef

August, J., Zucker, S.W., Siddiqi, K.,
Fragment Grouping via the Principle of Perceptual Occlusion,
ICPR96(I: 3-8).
IEEE DOI 9608
(McGill Univ., CDN) BibRef

August, J.[Jonas], Siddiqi, K.[Kaleem], Zucker, S.W.[Steven W.],
Ligature Instabilities in the Perceptual Organization of Shape,
CVIU(76), No. 3, December 1999, pp. 231-243.
DOI Link 0001
BibRef
Earlier: CVPR99(II: 42-48).
IEEE DOI BibRef

August, J.[Jonas], Zucker, S.W.,
Sketches with curvature: The curve indicator random field and Markov processes,
PAMI(25), No. 4, April 2003, pp. 387-400.
IEEE Abstract. 0304
Stochastic model for contours. BibRef

August, J.[Jonas],
The Curve Indicator Random Field,
Ph.D.Thesis, Yale, 2001. BibRef 0100

Kim, Z.[ZuWhan], Nevatia, R.[Ramakant],
Uncertain Reasoning and Learning for Feature Grouping,
CVIU(76), No. 3, December 1999, pp. 278-288. 0001
BibRef USC Computer Vision
DOI Link Building Recognition. BibRef

Kim, Z.[ZuWhan], Nevatia, R.,
Expandable bayesian networks for 3D object description from multiple views and multiple mode inputs,
PAMI(25), No. 6, June 2003, pp. 769-774.
IEEE Abstract. 0306
Building Recognition. Bayesian network for handling variable numbers of features. Expand as appropriate. BibRef

Chen, W.G.[Wei-Ge],
Precompression extrapolation method,
US_Patent5,949,919, Sep 7, 1999
WWW Link. BibRef 9909

Sarkar, S.[Sudeep], Soundararajan, P.[Padmanabhan],
Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata,
PAMI(22), No. 5, May 2000, pp. 504-525.
IEEE DOI 0008
Group edges and lines into coherent structures. Use image values in training grouping procedures. BibRef

Soundararajan, P.[Padmanabhan], Sarkar, S.[Sudeep],
An in-depth study of graph partitioning measures for perceptual organization,
PAMI(25), No. 6, June 2003, pp. 642-660.
IEEE Abstract. 0306
Evaluation, Segmentation.
WWW Link. Code, Perceptual Grouping. Dataset, Perceptual Grouping. BibRef
Earlier:
Empirical evaluation of graph partitioning measures for perceptual organization,
EEMCV01(xx-yy). 0110
Quality of groups generated by minimum (
See also Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation, An. ) or average (
See also Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata. ) or normalized (
See also Normalized Cuts and Image Segmentation. ) cuts are equivalent for recognition. BibRef

Soundararajan, P.[Padmanabhan], Sarkar, S.[Sudeep],
Investigation of Measures for Grouping by Graph Partitioning,
CVPR01(I:239-246).
IEEE DOI 0110
BibRef
And:
Analysis of MinCut, Average Cut, and Normalized Cut Measures,
PercOrg01(xx-yy). 0106
Study of 4 measures. Minimization of the average cut (
See also Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata. ) and the normalized cut using recursive bi-partitioning result segmentation (
See also Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata. ). Minimum cut (
See also Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation, An. ) and variation on normalized cut (in the paper) do not. BibRef

Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Complexity, Confusion, and Perceptual Grouping. Part I: The Curve-like Representation,
IJCV(42), No. 1-2, April-May 2001, pp. 55-82.
DOI Link 0106
BibRef
And: JMIV(15), No. 1/2, July 2001, pp. 55-82.
DOI Link 0106
BibRef

Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Complexity, Confusion, and Perceptual Grouping. Part II: Mapping Complexity,
IJCV(42), No. 1-2, April-May 2001, pp. 83-115.
DOI Link 0106
BibRef
And: JMIV(15), No. 1/2, July 2001, pp. 83-116.
DOI Link 0106
BibRef

Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
A complexity space for curve grouping,
CAIP95(33-40).
Springer DOI 9509
BibRef

Cohen, L.D.[Laurent D.],
Multiple Contour Finding and Perceptual Grouping using Minimal Paths,
JMIV(14), No. 3, May 2001, pp. 225-236.
DOI Link
PS File. 0106
BibRef
Earlier: LevelSet01(xx-yy).
PS File. 0106
BibRef

Cohen, L.D.[Laurent D.], Deschamps, T.[Thomas],
Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths,
EMMCVPR01(560-575).
Springer DOI
PDF File. 0205
BibRef

Song, B.S.[Bong Seop], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Model-Based Object Recognition Using Geometric Invariants of Points and Lines,
CVIU(84), No. 3, December 2001, pp. 361-383.
DOI Link 0207

See also Color image retrieval using hybrid graph representation. BibRef

Park, I.K.[In Kyu], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Recognition and Reconstruction of 3-d Objects Using Model-based Perceptual Grouping,
ICPR00(Vol I: 720-724).
IEEE DOI 0009
BibRef
Earlier:
Perceptual Grouping of 3-D Features in Aerial Images Using Decision Tree Classifier,
ICIP99(I:31-35).
IEEE DOI polygonal patches using perceptual grouping. Graph search on the patches. BibRef

Saund, E.[Eric],
Finding Perceptually Closed Paths in Sketches and Drawings,
PAMI(25), No. 4, April 2003, pp. 475-491.
IEEE Abstract. 0304
BibRef
Earlier: PercOrg01(xx-yy). 0106
Start with a graph of curve fragments. Find clean connections of endpoints, search for best paths. BibRef

Elder, J.H.[James H.], Krupnik, A.[Amnon], Johnston, L.A.,
Contour grouping with prior models,
PAMI(25), No. 6, June 2003, pp. 661-674.
IEEE Abstract. 0306
BibRef
Earlier: A1, A2 only:
Contour Grouping with Strong Prior Models,
CVPR01(II:414-421).
IEEE DOI 0110
BibRef
Earlier: PercOrg01(xx-yy). 0106
Find boundary when some prior knowledge is available. Combine probabilistic appearance knowledge with models for contour grouping. BibRef

Elder, J.H.[James H.],
Ecological Statistics of Contour Grouping,
BMCV02(230 ff.).
Springer DOI 0303
BibRef

Cohen, Y.[Yossi], Basri, R.[Ronen],
Inferring region salience from binary and gray-level images,
PR(36No. 10, October 2003, pp. 2349-2362.
Elsevier DOI 0308
Contour fragments for region of interest. BibRef

Luo, J.B.[Jie-Bo], Guo, C.E.[Cheng-En],
Perceptual grouping of segmented regions in color images,
PR(36), No. 12, December 2003, pp. 2781-2792.
Elsevier DOI 0310
BibRef
Earlier:
Non-purposive perceptual region grouping,
ICIP02(II: 749-752).
IEEE DOI 0210
BibRef

Park, I.K.[In Kyu], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Perceptual Grouping of Line Features in 3-D Space: A Model-Based Framework,
PR(37), No. 1, January 2004, pp. 145-159.
Elsevier DOI 0311
BibRef

Yu, S.X.[Stella X.], Shi, J.B.[Jian-Bo],
Segmentation given partial grouping constraints,
PAMI(26), No. 2, February 2004, pp. 173-183.
IEEE Abstract. 0402
BibRef
Earlier:
Grouping with Bias,
CMU-RI-TR-01-22, CMU Robotics Institute, July 2001. BibRef
And:
Grouping with Directed Relationships,
EMMCVPR01(283-297).
Springer DOI 0205
A constrained optimization problem. Initial constraints from salient feature extraction or expected object locations. BibRef

Wang, S.[Song], Kubota, T.[Toshiro], Siskind, J.M.[Jeffrey Mark], Wang, J.[Jun],
Salient Closed Boundary Extraction with Ratio Contour,
PAMI(27), No. 4, April 2005, pp. 546-561.
IEEE Abstract. 0501
Salient Regions. Encode proximity and continuity in a new measure. BibRef

Wang, S.[Song],
Ratio Contour Code,
Online2006. Code, Segmentation.
WWW Link. Also ratio cut, segmentation benchmark code, symmetric boundary extraction. BibRef 0600

Wang, S.[Song], Wang, J.[Jun], Kubota, T.,
From Fragments to Salient Closed Boundaries: An In-Depth Study,
CVPR04(I: 291-298).
IEEE DOI 0408
BibRef

Staal, J.[Joes], Kalitzin, S.N.[Stiliyan N.], Viergever, M.A.[Max A.],
A Trained Spin-Glass Model for Grouping of Image Primitives,
PAMI(27), No. 7, July 2005, pp. 1172-1182.
IEEE Abstract. 0506
Group lines, apply to retinal images. BibRef

Wang, S.[Song], Stahl, J.S.[Joachim S.], Bailey, A.[Adam], Dropps, M.[Michael],
Global Detection of Salient Convex Boundaries,
IJCV(71), No. 3, March 2007, pp. 337-359.
Springer DOI 0001
BibRef

da Silva Torres, R.[Ricardo], Falcão, A.X.[Alexandre X.],
Contour salience descriptors for effective image retrieval and analysis,
IVC(25), No. 1, January 2007, pp. 3-13.
Elsevier DOI 0611
Shape analysis, Image processing, Shape saliences, Image foresting transform, Multiscale skeletonization, Shape exact dilation, Image retrieval BibRef

Andalo, F.A.[Fernanda A.], Miranda, P.A.V.[Paulo A.V.], da Silva Torres, R.[Ricardo], Falcao, A.X.[Alexandre Xavier],
Shape feature extraction and description based on tensor scale,
PR(43), No. 1, January 2010, pp. 26-36.
Elsevier DOI 0909
BibRef
Earlier:
Detecting Contour Saliences using Tensor Scale,
ICIP07(VI: 349-352).
IEEE DOI 0709
Shape analysis, Image processing, Tensor scale, Image Foresting Transform, Shape description, Shape saliences, Content-based image retrieval BibRef

Freitas, A.M.[Anderson M.], da Silva Torres, R.[Ricardo], Miranda, P.A.V.[Paulo A.V.],
TSS &, TSB: Tensor scale descriptors within circular sectors for fast shape retrieval,
PRL(83, Part 3), No. 1, 2016, pp. 303-311.
Elsevier DOI 1609
Shape descriptor BibRef

Tang, Q.L.[Qi-Ling], Sang, N.[Nong], Zhang, T.X.[Tian-Xu],
Extraction of salient contours from cluttered scenes,
PR(40), No. 11, November 2007, pp. 3100-3109.
Elsevier DOI 0707
BibRef
Earlier:
Extraction of Salient Contours Via Excitatory-Inhibitory Interactions in the Visual Cortex,
ACCV06(II:683-691).
Springer DOI 0601
Contour extraction, Contextual interactions, Surround inhibition; Spatial facilitation, Saliency BibRef

Papari, G., Petkov, N.,
Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection,
IP(17), No. 10, October 2008, pp. 1950-1962.
IEEE DOI 0809
BibRef

Adluru, N.[Nagesh], Latecki, L.J.[Longin Jan],
Contour Grouping Based on Contour-Skeleton Duality,
IJCV(83), No. 1, June 2009, pp. xx-yy.
Springer DOI 0903
Group contours in edge maps. Low level constraints and high level models. BibRef

Adluru, N.[Nagesh], Latecki, L.J.[Longin Jan], Lakaemper, R.[Rolf], Young, T.[Thomas], Bai, X.[Xiang], Gross, A.D.[Ari D.],
Contour Grouping Based on Local Symmetry,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Bo, Y.H.[Yi-Hang], Luo, S.W.[Si-Wei], Zou, Q.[Qi],
Salient Edge Detection in Natural Images,
IEICE(E92-D), No. 5, May 2009, pp. 1209-1212.
WWW Link. 0907
BibRef

Huang, W.T.[Wen-Tao], Jiao, L.C.[Li-Cheng], Jia, J.H.[Jian-Hua], Yu, H.[Hang],
A neural contextual model for detecting perceptually salient contours,
PRL(30), No. 11, 1 August 2009, pp. 985-993.
Elsevier DOI 0909
Contour detection, Computational model, Surround suppression; Collinear facilitation BibRef

Michailovich, O.V.[Oleg V.], Rathi, Y.[Yogesh],
On Approximation of Orientation Distributions by Means of Spherical Ridgelets,
IP(19), No. 2, February 2010, pp. 461-477.
IEEE DOI 1002
BibRef

Rathi, Y.[Yogesh], Michailovich, O.V.[Oleg V.], Bouix, S.[Sylvain], Shenton, M.E.,
Orientation distribution estimation for Q-ball imaging,
Tensor08(1-8).
IEEE DOI 0806
BibRef

Zhang, Y.[Yi], Han, J.[Jing], Yue, J.[Jiang], Bai, L.[Lianfa],
Weighted KPCA Degree of Homogeneity Amended Nonclassical Receptive Field Inhibition Model for Salient Contour Extraction in Low-Light-Level Image,
IP(23), No. 6, June 2014, pp. 2732-2743.
IEEE DOI 1406
Computational modeling BibRef

Han, J.[Jing], Yue, J.[Jiang], Zhang, Y.[Yi], Bai, L.[Lianfa],
Local Sparse Structure Denoising for Low-Light-Level Image,
IP(24), No. 12, December 2015, pp. 5177-5192.
IEEE DOI 1512
image coding BibRef

Zhang, J.S.[Jin-Song], Zhang, Y.[Yi], Bai, L.[Lianfa], Han, J.[Jing],
Lossless-constraint Denoising based Auto-encoders,
SP:IC(63), 2018, pp. 92-99.
Elsevier DOI 1804
Sparse auto-encoder, Denoising auto-encoder, Neural networks and deep learning BibRef

Kang, S.H.[Sung Ha], Zhu, W.[Wei], Shen, J.J.H.[Jackie Jian-Hong],
Illusory Shapes via Corner Fusion,
SIIMS(7), No. 4, 2014, pp. 1907-1936.
DOI Link 1412
BibRef

Guo, Y.[Yu], Wang, F.[Fei], Xin, J.M.[Jing-Min],
Point-wise saliency detection on 3D point clouds via covariance descriptors,
VC(34), No. 10, October 2018, pp. 1325-1338.
WWW Link. 1809
BibRef

Lin, C.[Chuan], Li, F.Z.[Fu-Zhang], Cao, Y.J.[Yi-Jun], Zhao, H.J.[Hao-Jun],
Bio-inspired contour detection model based on multi-bandwidth fusion and logarithmic texture inhibition,
IET-IPR(13), No. 12, October 2019, pp. 2304-2313.
DOI Link 1911
Derived from human receptive field studies. BibRef

Song, D.W.[Da-Wei], Dong, Y.S.[Yong-Sheng], Li, X.L.[Xue-Long],
Hierarchical Edge Refinement Network for Saliency Detection,
IP(30), 2021, pp. 7567-7577.
IEEE DOI 2109
Image edge detection, Feature extraction, Saliency detection, Data mining, Convolution, Semantics, Visualization, one-to-one hierarchical supervision strategy BibRef

Bai, S.[Song], Wang, X.G.[Xing-Gang], Bai, X.[Xiang],
Aggregating contour fragments for shape classification,
ICIP14(5252-5256)
IEEE DOI 1502
Accuracy BibRef

Jiang, H.Z.[Huai-Zu], Wu, Y.[Yang], Yuan, Z.J.[Ze-Jian],
Probabilistic salient object contour detection based on superpixels,
ICIP13(3069-3072)
IEEE DOI 1402
salient object contour;superpixels BibRef

Zheng, W.[Wei], Song, S.L.[Song-Lin], Chang, H.[Hong], Chen, X.L.[Xi-Lin],
Grouping Active Contour Fragments for Object Recognition,
ACCV12(I:289-301).
Springer DOI 1304
BibRef

Guo, Y.L.[Yu-Liang], Kimia, B.B.[Benjamin B.],
On evaluating methods for recovering image curve fragments,
POCV12(9-16).
IEEE DOI 1207
BibRef

Kennedy, R.[Ryan], Gallier, J.[Jean], Shi, J.B.[Jian-Bo],
Contour cut: Identifying salient contours in images by solving a Hermitian eigenvalue problem,
CVPR11(2065-2072).
IEEE DOI 1106
BibRef

Loss, L.A.[Leandro A.], Bebis, G.N.[George N.], Nicolescu, M.[Mircea], Skurikhin, A.[Alexei],
Investigating how and when perceptual organization cues improve boundary detection in natural images,
Tensor08(1-8).
IEEE DOI 0806
BibRef

Rouco, J.[José], Penas, M.[Marta], Penedo, M.G.[Manuel G.], Ortega, M.[Marcos], Alonso-Montes, C.[Carmen],
Certainty Measure of Pairwise Line Segment Perceptual Relations Using Fuzzy Logic,
CIARP07(477-486).
Springer DOI 0711
BibRef

Penas, M.[Marta], Carreira, M.J.[María J.], Penedo, M.G.[Manuel G.],
Perceptual Organization of Directional Primitives Using a Pseudocolor Hough Transform,
SCIA03(893-898).
Springer DOI 0310
BibRef

Tamrakar, A.[Amir], Kimia, B.B.[Benjamin B.],
No Grouping Left Behind: From Edges to Curve Fragments,
ICCV07(1-8).
IEEE DOI 0710
BibRef
Earlier:
Combinatorial Grouping of Edges using Geometric Consistency in a Lagrangian Framework,
PercOrg06(189).
IEEE DOI 0609
BibRef

Estrada, F.J.[Francisco J.], Jepson, A.D.[Allan D.],
Robust Boundary Detection With Adaptive Grouping,
PercOrg06(184).
IEEE DOI 0609
BibRef
Earlier:
Perceptual grouping for contour extraction,
ICPR04(II: 32-35).
IEEE DOI 0409
BibRef

Tamrakar, A.[Amir], Kimia, B.B.[Benjamin B.],
Medial Visual Fragments as an Intermediate Image Representation for Segmentation and Perceptual Grouping,
PercOrg04(47).
IEEE DOI 0502
BibRef

Kaufhold, J., Hoogs, A.,
Learning to segment images using region-based perceptual features,
CVPR04(II: 954-961).
IEEE DOI 0408
BibRef

Yang, Q.[Qing], Parvin, B.,
Perceptual organization of radial symmetries,
CVPR04(I: 320-325).
IEEE DOI 0408
BibRef

Zheng, X.F.[Xiao-Fen], Gao, Q.G.[Qi-Gang],
Detection of perceptual junctions by curve partitioning and grouping,
CRV04(347-353).
IEEE DOI 0408
BibRef

Gao, Q.G.[Qi Gang],
Perceptual tracking of edge features,
ICIP94(I: 958-962).
IEEE DOI 9411
BibRef

Schellewald, C.[Christian], Keuchel, J.[Jens], Schnörr, C.[Christoph],
Image Labeling and Grouping by Minimizing Linear Functionals over Cones,
EMMCVPR01(267-282).
Springer DOI 0205
BibRef

Werner, T., Pajdla, T.,
Oriented Matching Constraints,
BMVC01(Poster Session 2. and Demonstrations).
HTML Version. University of Oxford 0110
BibRef

Werner, T.,
Constraint on five points in two images,
CVPR03(II: 203-208).
IEEE DOI 0307
Award, CVPR, HM. BibRef

August, J.[Jonas], Zucker, S.W.[Steven W.],
A Field Model for Contour Organization and Partial Differential Equations,
PercOrg01(xx-yy). 0106
BibRef

Hoogs, A.[Anthony], Collins, R.[Roderic],
Grouping Using Regions: A Consistency Study,
PercOrg01(xx-yy). 0106
BibRef

Hoogs, A.[Anthony], Mundy, J.L.[Joseph L.],
An Integrated Boundary and Region Approach to Perceptual Grouping,
ICPR00(Vol I: 284-290).
IEEE DOI 0009
BibRef

Guichard, F.[Frederic], Tarel, J.P.[Jean-Philippe],
Curve Finder Combining Perceptual Grouping and a Kalman like Fitting,
ICCV99(1003-1008).
IEEE DOI Longest First Segmentation -- find the longest fit first. BibRef 9900

Schaffalitzky, F., Zisserman, A.,
Geometric Grouping of Repeated Elements within Images,
BMVC98(xx-yy). BibRef 9800

Carreira, M.J., Orwell, J., Turnes, R., Boyce, J.F., Cabello, D., Haddon, J.F.,
Perceptual Grouping from Gabor Filter Responses,
BMVC98(xx-yy). BibRef 9800

Xiao, J.[Jing], Yang, Z., Ma, S.D.[Song-De],
Some General Grouping Principles: Line Perception from Points as an Example,
ICPR98(Vol II: 1825-1827).
IEEE DOI 9808
BibRef

Nakajima, C.[Chikahito],
Extraction of Salient Apexes from an Image by Using the Function at the Primary Visual Cortex,
ICPR98(Vol I: 720-724).
IEEE DOI 9808
BibRef

Curwen, R.W.[Rupert W.], Stewart, C.V.[Charles V.], and Mundy, J.L.[Joseph L.],
Recognition of Plane Projective Symmetry,
ICCV98(1115-1122).
IEEE DOI Saliency BibRef 9800

Curwen, R.W.[Rupert W.], Mundy, J.L.[Joseph L.],
Constrained Symmetry Exploitation,
DARPA98(775-782). BibRef 9800

Curwen, R.W., Mundy, J.L.,
Grouping Planar Projective Symmetries,
DARPA97(595-606). BibRef 9700

Utcke, S.[Sven],
Grouping Based on Projective Geometry Constraints and Uncertainty,
ICCV98(739-746).
IEEE DOI Finding street crossings using grouping. BibRef 9800

Schlüter, D., Wachsmuth, S., Sagerer, G.,
Towards an Integrated Framework for Contour-based Grouping and Object Recognition Using Markov Random Fields,
ICIP00(Vol II: 100-103).
IEEE DOI 0008
BibRef

Mabbmann, A., Posch, S., Sagerer, G., and Schluter, D.,
Using Markov Random Fields for Contour-Based Grouping,
ICIP97(II: 207-210).
IEEE DOI BibRef 9700

Gamba, P., Lilla, M., and Mecocci, A.,
Extraction of Discontinuous Chains of Symbols by Means of Perceptual Grouping,
ICIP97(II: 422-425).
IEEE DOI BibRef 9700

Dom, B.E.[Byron E.],
MDL Estimation for Small Sample Sizes and Its Application to Segmenting Binary Strings,
CVPR97(280-287).
IEEE DOI 9704
BibRef

Yen, S.C.[Shih Chang], Finkel, L.H.,
Identification of Salient Contours in Cluttered Images,
CVPR97(273-279).
IEEE DOI 9704
Grouping points. BibRef

Cham, T.J., Cipolla, R.,
Geometric Saliency of Curve Correspondences and Grouping of Symmetric Contours,
ECCV96(I:385-398).
Springer DOI Award, ECCV.
PS File. BibRef 9600

Lawn, J.[Jonathan], Cipolla, R.[Roberto],
Camera Motion Determination from Dymanic Perceptual Grouping of Line Segments,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Rosin, P.L.,
Grouping Curved Lines,
BMVC94(265-274).
PDF File.
PDF File. BibRef 9400

Kanungo, T., Dom, B., Niblack, W., Steele, D.,
A Fast Algorithm for MDL-Based Multi-Band Image Segmentation,
CVPR94(609-616).
IEEE DOI Segmentation, MDL. BibRef 9400

Saund, E.[Eric], Moran, T.[Thomas],
Perceptual Organization in an Interactive Sketch Editing Application,
ICCV95(597-604).
IEEE DOI Vision gives the grouping and names in interactive editing. BibRef 9500

Ottenberg, K.[Karsten],
Brightness-contrast diffusion and the grouping of missing angles,
CAIP93(133-140).
Springer DOI 9309
Group contour fragments. BibRef

Mangin, F., Berthod, M., Zerubia, J.B.,
A cooperative network for contour grouping,
ICPR92(III:315-318).
IEEE DOI 9208
BibRef

Subirana-Vilanova, B.J.,
On contour texture,
CVPR91(753-754).
IEEE DOI 0403
Non-smooth or complex boundaries are processed by the visual system so as to obtain a simple abstract description, called contour texture, which contains much less information than that provided by the location of all points of the contour. BibRef

Etemadi, A., Schmidt, J.P., Matas, G., Illingworth, J., Kittler, J.V.,
Low-Level Grouping of Straight Line Segments,
BMVC91(119-126).
PDF File. BibRef 9100

Rearick, T.C., Frawley, J.L., Cortopassi, P.P.,
Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects,
CVPR88(840-846).
IEEE DOI BibRef 8800

Vistnes, R.,
Detecting Dotted Lines and Curves in Random-Dot Patterns,
DARPA87(849-861). BibRef 8700

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Contour Completion, Subjective Contours .