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

The PASCAL Visual Object Classes Challenge

Fringe projection techniques: Whither we are?

Unsupervised real-time anomaly detection for streaming data

Condition monitoring of induction motors is a fast emerging technology for online detection of incipient faults. It avoids unexpected failure of a critical system. Approximately 30-40% of faults of induction motors are stator faults. This work presents a comprehensive review of various stator faults, their causes, detection parameters/techniques, and latest trends in the condition monitoring technology. It is aimed at providing a broad perspective on the status of stator fault monitoring to researchers and application engineers using induction motors. A list of 183 research publications on the subject is appended for quick reference.

A review of stator fault monitoring techniques of induction motors

In food packaging, low-density polyethylene (PE) coating is applied to paperboards to act as a functional barrier and to provide the smoothness required to enhance printability. These characteristi ...

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Three-dimensional scanning electron microscopy used as a profilometer for the surface characterization of polyethylene-coated paperboard

A tribological test is adopted to estimate the kinetic friction coefficient of the material of interest according to the ASTM standard Typically a number of replicate is necessary to take into account the observed casual variability of the measurand as well as a post-processing data treatment is recommended The paper describes a novel statistical approach aiming to highlight the most significant time intervals during each test replicate Experimental activity has been carried out with reference to the ball-on-flat configuration of the tribo-meter in order to verify the suggested procedure in terms of both accuracy and reliability

Accurate measurement of dry friction coefficient using reciprocating tribometer

Indoor localization has been a popular research subject in recent years. Usually, object localization using sound involves devices on the objects, acquiring data from stationary sound sources, or by localizing the objects with external sensors when the object generates sounds. Indoor localization systems using microphones have traditionally also used systems with several microphones, setting the limitations on cost efficiency and required space for the systems. In this paper, the goal is to investigate whether it is possible for a stationary system to localize a silent object in a room, with only one microphone and ambient noise as information carrier. A subtraction method has been combined with a fingerprint technique, to define and distinguish the noise absorption characteristic of the silent object in the frequency domain for different object positions. The absorption characteristics of several positions of the object is taken as comparison references, serving as fingerprints of known positions for an object. With the experiment result, the tentative idea has been verified as feasible, and noise signal based lateral localization of silent objects can be achieved.

Indoor Silent Object Localization using Ambient Acoustic Noise Fingerprinting

Discovering very small water leaks at the household level is one of the most challenging goals of smart metering. While many solutions for sudden leakage detection have been proposed to date, the small leaks are still giving researchers a hard time. Even if some devices can be found on the market, their capability to detect a water leakage barely reaches the sensitivity of the employed mechanical water meter, which was not designed for detecting small water leakages. This paper proposes a technique for improving the sensitivity of the mechanical register water meters. By implementing this technique in a suitable electronic add-on device, the improved sensitivity could detect very small leaks. This add-on device continuously acquires the mechanical register’s digital images and, thanks to suitable image processing techniques and metrics, allows very small flows to be detected even if lower than the meter starting flow rate. Experimental tests were performed on two types of mechanical water meters, multijet and piston, whose starting flow rates are 8 L/h and 1 L/h, respectively. Results were very interesting in the leakage range of [1.0, 10.0] L/h for the multijet and even in the range [0.25, 1.00] L/h for the piston meter.

Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks.

In the paper, the problem of the correction of harmonic interference effects on FFT results is discussed. A procedure for the effect evaluation and correction is proposed and implemented in an intelligent FFT-analyzer able also to provide the results with their uncertainty.

Consolatina Liguori

Papers

Three-dimensional scanning electron microscopy used as a profilometer for the surface characterization of polyethylene-coated paperboard

Accurate measurement of dry friction coefficient using reciprocating tribometer

Indoor Silent Object Localization using Ambient Acoustic Noise Fingerprinting

Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks.

An intelligent FFT-analyzer with harmonic interference effect correction and uncertainty evaluation