The recognition of object categories has a rich history in computer vision. In the 1970s, generic object recognition systems sought to model and recognize objects based on their coarse, prototypical shape. These early systems employed complex 3-D models, which offered invariance to viewpoint (including image translation, rotation, and scale),...

That statement encapsulates the view of The MathWorks, Inc., the developer of MATLAB®. MATLAB 6 is an ambitious program. It contains hundreds of com- mands to do mathematics. You can use it to graph functions, solve equations, perform statistical tests, and do much more. It is a high-level programming language that can communicate...

The International Computer Vision Summer School - ICVSS was...

Extensively class tested, this text takes an innovative approach to explaining the process of software testing: it defines testing as the process of applying a few well-defined, general-purpose test criteria to a structure or model of the software. The structure of the text directly reflects the pedagogical approach and incorporates the latest...

Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations, and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I...

Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves solving linearly for a reflectivity at every point within the Earth, but this book follows an alternative approach which invokes inverse scattering theory. By developing the theory of seismic imaging from...