3 Rosenfeld Bibliography for 1996

A notice about these bibliographies

When the 25th bibliography in this series was published (two years ago), I began it with a note summarizing the history of the bibliographies and indicating that, with the increasing availability of bibliographic data in digital form (e.g., journal Tables of Contents on publishers' home pages), there might be changes in the nature of the bibliographies over the coming years. There have in fact been changes in the way we produce the bibliographies, but the product has not yet changed.

Since it has become relatively easy to search the web for bibliographic data, the need for pre-constructed bibliographies is becoming dubious, and I expect to stop preparing them soon. The database of references from which I prepare the bibliographies each year, which I began in 1961, has just (December 1996) reached 50,000 items; it currently grows by over 2000 items per year. I don't know if I'll ever stop collecting references, but I will definitely stop preparing annual bibliographies, perhaps with this one (27, the cube of 3), perhaps with the next one (28, a perfect number), and certainly when I reach the 30th one, which will appear (if it does) in the year 2000. I hope the community has found my bibliographies useful, and that the information resources of the 21st century prove to be even more useful.

3.1 A. INTRODUCTION

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This is the twenty-seventh in a series of bibliographies on computer processing of pictorial information, covering primarily items published during 1996. The coverage is restricted almost entirely to a selected set of U.S. or international journals and conference proceedings. No attempt is made to summarize or evaluate the items cited; the purpose is simply to provide a convenient compendium of references, grouped by subject.

The references are arranged under the following headings:

(A) General references (B) Related topics (C) Applications (D) Computational techniques (E) Feature detection and segmentation; image and scene analysis (F) Two-dimensional shape and pattern (G) Color and texture (H) Matching and stereo (I) Three-dimensional recovery and analysis (J) Three-dimensional shape (K) Motion

Letter/number codes in the text (A.1, etc.) correspond to sections of the bibliography.

Papers, books, etc. relating primarily to specific topics will be cited in later sections. In this section we cite references that relate to more than one topic:

(A.1) Meetings and meeting proceedings: [1-45] (A.2) Books [46-48]; paper collections [49-52]; journal special issues and sections [53-55]; two new journals [56-57]; papers and journal special issues on research at specific institutions [58-79]; general papers [80-81]; and the previous bibliography in this series [82].

3.2 B. RELATED TOPICS

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The following related areas are not covered systematically, but we give a few references on them:

(B.1) Geometry and graphics: [83-127] (B.2) Compression and processing: [128-170] (B.3) Sensors and optics: [171-189] (B.4) Visual perception: [190-205] (B.5) Neural networks: [206-221] (B.6) Artificial intelligence and pattern recognition: [222-238].

3.3 C. APPLICATIONS

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(C.1) Documents: [239-250]$^*$ (C.2) Biomedical and biological: [251-261]$^*$ (C.3) Human: [262-383] (C.4) Industrial; robotics: [384-397]$^*$ (C.5) Mobile robotics: [398-452] (C.6) Target recognition: [453-498] (C.7) Remote sensing: [499-557].

3.4 D. COMPUTATIONAL TECHNIQUES

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(D.1) Architectures and environments: [558-598] (D.2) Databases: [599-659] (D.3) Operations (morphological, etc.): [660-689] (D.4) Multiscale methods: [690-718] (D.5) Geometric operations: [719-732]; estimation, etc.: [733-746] (D.6) Calibration: [747-775].

3.5 E. FEATURE DETECTION AND SEGMENTATION; IMAGE AND SCENE ANALYSIS

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(E.1) Features: [776-847] (E.2) Segmentation: [848-974] (including thresholding, contour extraction, grouping, and segmentation of 3D data; on color and texture see Section G, and on range data see Section I.1) (E.3) Image and scene analysis (including attention, control, etc.): [975-1021].

3.6 F. 2D SHAPE AND PATTERN

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(F.1) Representation, decomposition, etc.: [1022-1051] (F.2) Properties; invariants: [1052-1113] (F.3) Contours and curves: [1114-1175] (F.4) Skeletons and thinning; distance: [1176-1203] (F.5) Pattern (path planning, etc.): [1204-1229]; formal languages: [1230-1232].

REFERENCES

For brevity, the following frequently cited sources are cited in abbreviated forms:

3.12 A. Books and Conference Proceedings

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@string(CVPR = "Conference on Computer Vision and Pattern Recognition & [27]")
@string(ECCV = "European Conference on Computer")
@string(Vision = "[17]")
@string(ICIP = "International Conference on Image")
@string(Processing = "[145]")
@string(ICPR = "International Conference on Pattern")
@string(Recognition = "[31]")
@string(IUW = "[DARPA] Image Understanding")
@string(Workshop = "[13]")
@string(SCG = "Symposium on Computational")
@string(Geometry = "[89]")
@string(SIGGRAPH = "SIGGRAPH '96")
@string(Conference = "[93]")
@string(SPIE = "Society of Photo-Optical Instrumentation Engineers")
@string(AI = "Artificial Intelligence")
@string(AMM = "American Mathematical Monthly")
@string(ApI = "Applied Intelligence")
@string(C&G = "Computers and Graphics")
@string(CGA = "IEEE Computer Graphics and Applications")
@string(CVIU = "Computer Vision and Image Understanding")
@string(DCG = "Discrete and Computational Geometry")
@string(GMIP = "Graphical Models and Image Processing")
@string(IJCV = "International Journal of Computer Vision")
@string(IJIS = "International Journal of Intelligent Systems")
@string(IJIST = "International Journal of Imaging Systems and Technology")
@string(IJPRAI = "International Journal of Pattern Recognition and Artificial Intelligence")
@string(IJRR = "International Journal of Robotics Research")
@string(IPL = "Information Processing Letters")
@string(IS = "Information Sciences")
@string(IVC = "Image and Vision Computing")
@string(JMIV = "Journal of Mathematical Imaging and Vision")
@string(JPDC = "Journal of Parallel and Distributed Computing")
@string(JVCIR = "Journal of Visual Communication and Image Representation")
@string(MVA = "Machine Vision and Applications")
@string(P-IEEE = "Proceedings of the IEEE")
@string(PR = "Pattern Recognition")
@string(PRIA = "Pattern Recognition and Image Analysis")
@string(PRL = "Pattern Recognition Letters")
@string(RA = "IEEE Robotics and Automation Magazine")
@string(RTI = "Real-Time Imaging SIAM JC & SIAM Journal on Computing")
@string(SV = "Spatial Vision")
@string(TCS = "Theoretical Computer Science")
@string(T-COMP = "IEEE Transactions on Computers")
@string(T-IS = "IEICE Transactions on Information and Systems")
@string(T-IP = "IEEE Transactions on Image Processing")
@string(T-KDE = "IEEE Transactions on Knowledge and Data Engineering")
@string(T-NN = "IEEE Transactions on Neural Networks")
@string(TOG = "ACM Transactions on Graphics")
@string(T-PAMI = "IEEE Transactions on Pattern Analysis and Machine Intelligence")
@string(T-RA = "IEEE Transactions on Robotics and Automation")
@string(T-SMC = "IEEE Transactions on Systems, Man, and Cybernetics")
@string(T-VCG = "IEEE Transactions on Visualization and Computer Graphics")
@string(VC = "The Visual Computer")