Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

The analysis of medical images has been woven into the fabric of the pattern analysis and machine intelligence (PAMI) community since the earliest days of these Transactions. Initially, the efforts in this area were seen as applying pattern analysis and computer vision techniques to another interesting dataset. However, over the last two to three decades, the unique nature of the problems presented within this area of study have led to the development of a new discipline in its own right. Examples of these include: the types of image information that are acquired, the fully three-dimensional image data, the nonrigid nature of object motion and deformation, and the statistical variation of both the underlying normal and abnormal ground truth. In this paper, we look at progress in the field over the last 20 years and suggest some of the challenges that remain for the years to come.

https://hal.inria.fr/inria-00615100/document

Medical image analysis: progress over two decades and the challenges ahead

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

語用論(Pragmatics)を考える

I read this book the same weekend that the Packers took on the Rams, and the experience of the latter event, obviously, colored my judgment. Although I abhor anything that smacks of being a handbook (like, \"How to Earn a Merit Badge in Neurosurgery\") because too many volumes in biomedical science already evince a boyscout-like approach, I must confess that parts of this volume are fast, scholarly, and significant, with certain reservations. I like parts of this well-illustrated book because Dr. Sj6strand, without so stating, develops certain subjects on technique in relation to the acquisition of judgment and sophistication. And this is important! So, given that the author (like all of us) is somewhat deficient in some areas, and biased in others, the book is still valuable if the uninitiated reader swallows it in a general fashion, realizing full well that what will be required from the reader is a modulation to fit his vision, propreception, adaptation and response, and the kind of problem he is undertaking. A major deficiency of this book is revealed by comparison of its use of physics and of chemistry to provide understanding and background for the application of high resolution electron microscopy to problems in biology. Since the volume is keyed to high resolution electron microscopy, which is a sophisticated form of structural analysis, but really morphology in a modern guise, the physical and mechanical background of The instrument and its ancillary tools are simply and well presented. The potential use of chemical or cytochemical information as it relates to biological fine structure , however, is quite deficient. I wonder when even sophisticated morphol-ogists will consider fixation a reaction and not a technique; only then will the fundamentals become self-evident and predictable and this sine qua flon will become less mystical. Staining reactions (the most inadequate chapter) ought to be something more than a technique to selectively enhance contrast of morphological elements; it ought to give the structural addresses of some of the chemical residents of cell components. Is it pertinent that auto-radiography gets singled out for more complete coverage than other significant aspects of cytochemistry by a high resolution microscopist, when it has a built-in minimal error of 1,000 A in standard practice? I don't mean to blind-side (in strict football terminology) Dr. Sj6strand's efforts for what is \"routinely used in our laboratory\"; what is done is usually well done. It's just that …

Methods in Enzymology.

In order to achieve natural, proactive, and non-intrusive interaction between humans and robots, the understanding of human actions is a highly relevant task. In this paper, a vision-based method for manipulative gesture recognition is proposed. Different from the traditional trajectory-based approaches, the manipulative actions are modeled not only based on the hand trajectories but also on the object context. This context-based trajectory recognition is embedded in a hierarchical hidden Markov model which represents the hierarchical structures in manipulation tasks. For representation, a lattice dynamic Bayesian network is used and the inference is done by particle filtering. The results of experiments in an office environment show the applicability of this approach for recognizing manipulative gesture.

http://aiweb.techfak.uni-bielefeld.de/files/papers/Li2005-HMA.pdf

Hierarchical Modeling and Recognition of Manipulative Gesture

A system for off-line handwritten text recognition is presented. It is characterized by a segmentation-free approach, i.e. whole lines of text are processed by the recognition module. The methods used for pre-processing, feature extraction, and statistical modelling are described, and several experiments on writer-independent, multiple writer, and single writer handwriting recognition tasks are conducted. Particularly, the incorporation of linear discriminant analysis, allograph character models, and statistical language knowledge is investigated. The evaluation results for lexicon-free handwriting recognition demonstrate the effectiveness of the proposed methods.

Experiments in Unconstrained Offline Handwritten Text Recognition

Supervising robotic assembly of multi-functional objects by means of a computer vision system requires components to identify assembly operations and to recognize feasible assemblies of single objects. If the results of both components should be consistent there have to be common models providing knowledge about the intended application. However, if the assembly system should handle not only exactly specified tasks it is rather impossible to model every possible assembly or action explicitly. Therefore, based on a flexible approach to model and recognize bolted assemblies and a method to monitor a construction process we propose an approach to fuse the results of the action detection and the recognition of assemblies in order to realize a reliable and efficient supervision.

Towards a Vision System for Supervising Assembly Processes

Domestic robots are in the focus of research in
terms of service providers in households and even as robotic
companion that share the living space with humans. A major
capability of mobile domestic robots that is joint exploration
of space. One challenge to deal with this task is how could we
let the robots move in space in reasonable, socially acceptable
ways so that it will support interaction and communication
as a part of the joint exploration. As a step towards this
challenge, we have developed a context-aware following behav-
ior considering these social aspects and applied these together
with a multi-modal person-tracking method to switch between
three basic following approaches, namely direction-following,
path-following and parallel-following. These are derived from
the observation of human-human following schemes and are
activated depending on the current spatial context (e.g. free
space) and the relative position of the interacting human.
A combination of the elementary behaviors is performed in
real time with our mobile robot in different environments.
First experimental results are provided to demonstrate the
practicability of the proposed approach.

/pdf/spatial-context-aware-person-following-for-a-domestic-robot-4cug7pwe77.pdf

Spatial context-aware person-following for a domestic robot

Using a computer vision system to supervise a construction task requires the reliable recognition of assembled objects. A particularly reliable object recognition is possible if a comprehensive representation of knowledge about assembled objects is provided. In this paper, the authors present a cyclic semantic network which models all possible assemblies of objects from a wooden construction-kit for children. Due to its simplicity this model allows a straight recognition of assembled objects.

Gerhard Sagerer

Papers

Hierarchical Modeling and Recognition of Manipulative Gesture

Experiments in Unconstrained Offline Handwritten Text Recognition

Towards a Vision System for Supervising Assembly Processes

Spatial context-aware person-following for a domestic robot

Modeling and recognition of assembled objects