Active vision

Abstract: Active perception (active vision specifically) is defined as a study of modeling and control strategies for perception. Local methods are distinguished from global models by their extent of application in space and time. The local models represent procedures and parameters such as optical distortions of the lens, focal lens, spatial resolution, bandpass filter, etc, The global models, on the other hand, characterize the overall performance and make predictions on how the individual modules interact. The control strategies are formulated as a search of such sequences of steps that would minimize a loss function while still seeking the most information. Examples are shown as the existence proof of the proposed theory on obtaining range from focus and stereo/vergence on 2-D segmentation of an image and 3-D shape parameterization. >

Abstract: Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radiometry of Imaging. H. Hausecker and B. Jahne, Illumination Sources and Techniques. Imagine Sensors. P. Seitz, Solid-State Image Sensing. U. Seger, U. Apel and B. Hofflinger, HDRC-Imagers for Natural Visual Perception. B. Schneider, P. Rieve and M. Bohm, Image Sensors in TFA (Thin Film on ASIC) Technology. S. Sedky and P. Fiorini, Poly SiGe Bolometers. B. Jahne, Hyperspectral and Color Imaging. 2-D Imaging. D. Uttenweiler and R.H.A. Fink, Dynamic Fluorescence Imaging. H. Stegmann, R. Wepf and R.R. Schroder, Electron Microscopic Image Acquisition. W. Albert and M. Pandit, Processing of Ultrasound Images in Medical Diagnosis. M.J. Buckingham, Acoustic Daylight Imaging in the Ocean. R. Massen, The Multisensorial Camera for Industrial Vision Applications. 3-D Imaging. R. Godding, Geometric Calibration of Digital Imaging Systems. R. Schwarte et al., Principles of 3-D Imaging Techniques. G. Hausler, 3-D Sensors - Potentials and Limitations. R.W. Malz, High Performance Surface Measurement. E.H.K. Stelzer, Three-Dimensional Light Microscopy. W.G. Schreiber and G. Brix, Magnetic Resonance Imaging in Medicine. A. Haase, J. Ruff and M. Rokitta, NMR Microscopy in Biological and Medical Research. Index. Color Plates. Contents of Volume Two: Preface. Contributors. B. Jahne, Introduction. Signal Representation. B. Jahne, Continuous and Digital Signals. B. Jahne, Spatial and Fourier Domain. B. Jahne, Multiresolutional Signal Representation. B. Jahne, Neighborhood Operators. B. Jahne, H. Scharr and S. Korkel, Principles of Filter Design. B. Jahne, Local Averaging. B. Jahne, Interpolation. B. Jahne, Image Warping. Feature Estimation. B. Jahne, Local Structure. T. Lindeberg, Principles for Automatic Scale Selection. T. Wagner, Texture Analysis. H. Hausecker and H. Spies, Motion. E.P. Simoncelli, Bayesian Multi-Scale Differential Optical Flow. J. Weickert, Nonlinear Diffusion Filtering. C. Schnorr, Variational Methods. H.A. Mallot, Stereopsis - Geometrical and Global Aspects. G. Gimel'farb, Stereo Terrain Reconstruction by Dynamic Programming. R. Klette, R. Kozera and K. Schluns, Reflectance Based Shape Recovery. P. Geisler and T. Dierig, Depth from Focus. Object Analysis, Classification, Modeling, Visualization.P. Soille, Morphological Operators. H. Hausecker and H.R. Tizhoosh, Fuzzy Image Processing. A. Meyer-Base, Neural Net Computing for Image Processing. D. Willersinn et al., Graph Theoretical Concepts for Computer Vision. R. Eils and K. Satzler, Shape Reconstruction from Volumetric Data. J. Hornegger, D. Paulus and H. Niemann, Probabilistic Modeling in Computer Vision. H. Niemann, Knowledge-Based Interpretation of Images. J. Hesser and C. Poliwoda, Visualization of Volume Data. N. Salmon, S. Lindek and E.H.K. Stelzer, Databases for Microscopes and Microscopical Images. Index. Color Plates. Contents of Volume Three: Preface. Contributors. B. Jahne, Introduction. Architecture of Computer Vision Systems..K.-H. Noffz et al., FPGA Image Processing. B. Jahne and H. Herrmann, Multimedia Architectures. A.M. Demiris, C.E. Cardenas, and H.-P. Meinzer, Customizable Medical Image Processing Systems. D. Paulus, J. Hornegger and H. Niemann, Software Engineering for Image Processing and Analysis. U. Kothe, Reusable Software in Computer Vision. P. Klausmann et al., Application-oriented Assessment of CV Algorithms. G. Hartmann, U. Buker and S. Drue, A Hybrid Neuro-AI-Architecture. B. Mertsching and S. Schmaiz, Active Vision Systems. G. Sommer, The Global Algebraic Frame of the Perception-Action Cycle. Industrial and Technical Applications. K. Singer, Market and Future Needs of Industrial Imaging. P. Soille, Applications of Morphological Operators. T. Wagner and P. Plankensteiner, Industrial Object Recognition. R. Koy-Oberthur, T. Munsterer, and S. Sun, Character Recognition in Industrial Production. R. Frischholz, Motion Tracking. H.A. Beyer, 3-D Image Metrology for Industrial Production. S. Karbacher, G. Hausler and H. Schonfeld, Reverse Engineering Using Optical Range Sensors. T. Scheuermann, G. Wiora and M. Graf, Topographical Maps of Microstructures. P. Soille, Processing of Digital Elevation Maps. R. Koch, 3-D Modeling of Objects from Image Sequences. N. Stein and B. Minge, 3-D Fast Full Body Scanning. B. Radig et al., 3-D Model Driven Person Detection. S. Lancer, C. Zierl and B. Radig, Single Perspective 3-D Object Recognition. T. Vetter, Flexible Models of Human Faces. Th. Hermes, C. Klauck and O. Herzog, Knowledge-Based Image Retrieval. M. Keller et al., A Tactile Vision Substitution System. B. Mertsching et al., The Neural Active Vision System NAVIS. E.D. Dickmanns and H.-J. Wunsche, Dynamic Vision for Perception and Control of Motion. Scientific Applications. P. Geisler and T. Scholz, Size Distributions of Small Particles. S. Eichkorn et al., Fluorescence Imaging of Air-Water Gas Exchange. F. Hering et al., Particle Tracking and Particle Imaging Velocimetry. H. Spies et al., Analyzing Particle Movements at Soil Interfaces. D. Schmundt and U. Schurr, Plant Leaf Growth Studies. D. Uttenweiler and R.H.A. Fink, Mathematical Modeling of Ca -Fluorescence Images. U. Schimpf, H. Hausecker and B. Jahne, Thermography for Small-Scale Air-Sea Interaction. B. Kummerlen et al., Thermography to Measure Water Relations of Plant Leaves. C. Leue, M. Wenig and U. Platt, Retrieval of Atmospheric Trace Gas Concentrations. J.L. Barron et al., Tracking "Fuzzy" Storms in Doppler Radar Images. R. Watzel et al., Detection of Dendritic Spine Synapses. C. Cremer et al., Spectral Precision Distance Confocal Microscopy. H. Bornfleth et al., 3-Dimensional Analysis of Genome Topology. Index. Color Plates.

Abstract: An active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated simultaneous localization and map-building (SLAM) to be implemented with vision, permitting repeatable longterm localization using only naturally occurring, automatically-detected features. In this paper, we present the first example of a general system for autonomous localization using active vision, enabled here by a high-performance stereo head, addressing such issues as uncertainty-based measurement selection, automatic map-maintenance, and goal-directed steering. We present varied real-time experiments in a complex environment.