Time-varying image processing and moving object recognition, 3 : proceedings of the 4th international workshop, Florence, Italy, June 10-11, 1993 /

In the area of Digital Image Processing the new area of ""Time-Varying Image Processing and Moving Oject Recognition"" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techn...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Cappellini, Vito
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : Elsevier, �1994.
Temas:
Image processing > Digital techniques > Congresses.
Optical pattern recognition > Congresses.
Traitement d'images > Techniques num�eriques > Congr�es.
Reconnaissance optique des formes (Informatique) > Congr�es.
TECHNOLOGY & ENGINEERING > Mechanical.
Image processing > Digital techniques
Optical pattern recognition
Patroonherkenning.
Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Time-Varying Image Processing and Moving Object Recognition, 3; Copyright Page; Preface; Table of Contents; PART A: DIGITAL PROCESSING METHODS AND TECHNIQUES; Chapter 1. Fast Approximate Calculation of the Two-Dimensional Discrete Fourier Transform; 1. INTRODUCTION; 2. POLYPHASE DECOMPOSITION OF 2-D SEQUENCES AND ITS GENERALIZATION; 3. EFFICIENT APPROXIMATE 2-0 DFT COMPUTATION; 4. AN IMAGE PROCESSING APPLICATION; 5. CONCLUDING REMARKS; Acknowledgments; References; Chapter 2. A constant-geometry multidimensional FFT; 1. Introduction; 2. Background and problem statement
  • 3. A parallel/sequential M-D Cooley-Tukey FFT4. Constant-geometry characteristic; Acknowledgement; References; Chapter 3. Estimation of the Measurement Covariance Matrix in a Kaiman Filter; 1 INTRODUCTION; 2 OVERVIEW OF THE KALMAN FILTER; 3 THE MEASUREMENT UNCERTAINTY; 4 ESTIMATION OF THE MEASUREMENT COVARIANCE MATRIX; 5 EXPERIMENTAL RESULTS; 6 CONCLUSION; REFERENCES; Chapter 4. Real-Time Computation of Statistical Moments on Binary Images UsingBlock Representation; 1. INTRODUCTION; 2. BLOCK REPRESENTATION; 3. GEOMETRICAL MOMENTS; 4. COMPUTATIONAL COMPLEXITY; 5. CONCLUSIONS; REFERENCES
  • 1. INTRODUCTION2. GEOMETRICAL CORRELATION FUNCTIONS (GCFs); 3. SHAPE-RECOGNITION BASED ON THE GCF; 4. EXPERIMENTAL RESULTS; 5. SUMMARY; REFERENCES; Chapter 8. Spotting Recognition of Human Gestures from Motion Images; 1. INTRODUCTION; 2. SYSTEM STRUCTURE; 3. FEATURE EXTRACTION; 4. STANDARD SEQUENCE PATTERN; 5. SPOTTING RECOGNITION; 6. EXPERIMENTS; 7. CONSIDERATION; 8. CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; PART C: IMAGE RESTORATION; Chapter 9. Motion-compensated filtering of noisy image sequences; 1. INTRODUCTION; 2. CLASSIFICATION OF METHODS; 3. NON MOTION-COMPENSATED TECHNIQUES
  • 4. TECHNIQUES USING REGULAR MOTION ESTIMATION5. TECHNIQUES USING NOISE ROBUST MOTION ESTIMATION; 6. FUTURE DEVELOPMENTS; 7. CONCLUSIONS; REFERENCES; Chapter 10. Even-median filters for noisy image restoration; 1. INTRODUCTION; 2. EVEN MEDIAN FILTERS; 3. DUAL-CHANNEL ITERATIVE SCHEME; 4. EXPERIMENTAL RESULTS AND COMPARISONS; 5. CONCLUDING REMARKS; REFERENCES; Chapter 11. Global Probabilistic Reinforcement of Straight Segments; 1. INTRODUCTION; 2. DESCRIPTION OF THE APPROACH; 3. DISTRIBUTED PROBABILISTIC INFERENCE; 4. RESULTS; 5. CONCLUSIONS; 6. ACKNOWLEDGEMENTS; 7. REFERENCES

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