digital camera : We are amazed to see Casio introducing a new Exilim camera exclusively onto the Japanese market. The Casio Exilim EX-FC150 is the successor to the EX-FC100, and hence shares many of the applied functions and features. The

digital megazoom camera : During the Photokina 2008 show, the FH20 was introduced. It was Casio's second camera from the High Speed Exilim series. Now, one year later, Casio announces its successor which it is currently destined for the Japanese

messaging phone : Pantech makes an Impact at AT&T with a messaging mobile phone that features a unique touchpad faceplate and full hidden keyboard combine to change the game for quick messengers and social networkers. Pantech Wireless will bring Impact

JVC HD Everio GZ-HM400 video camera : JVC announces a new video camera that offers the performance, features and handling demanded by video enthusiasts. The new JVC HD Everio GZ-HM400, available immediately, emphasizes image quality and usability in a design

Dell Inspiron Mini Nickelodeon netbook : Proving fun and education can mix, Dell and Nickelodeon announce the Dell Inspiron Mini Nickelodeon Edition, a cool new netbook computer that represents the ultimate in personalization. Designed specifically for kids, the Dell Inspiron

s, Verbatim Americas, LLC, the world's leader in storage media technology, takes hard drive design to a new dimension. The sleek, durable enclosure is enhanced with a premium piano black finish that will appeal to professional as well as home

Samsung Electronics announced the public availability of its Wireless Olympic Works (WOW) communications platform, designed to keep users connected and informed during the Vancouver 2010 Olympic Winter Games. Fans around the world can download and install Samsung's Public WOW Application

This work deals with 3D object recognition by implicit polynomials (IPs). We develop a new set of 3D rotation invariants that are linear combinations of the IP coefficients, as well as a set of 3D quadratic and angular rotation invariants,

A common problem encountered in recognizing symbols in real-scene images is the perspective deformation. In this paper, a recognition method resistant to perspective deformation is proposed. Particularly, a symbol is represented by a sequence of cross ratio spectra, in which

Traditional face recognition systems recognize a probe face image as one of the prototypes and attempt to achieve a high recognition accuracy, which implicitly assumes that the losses of all misclassifications are the same. We argue that this is far

In this paper, we present novel techniques that improve the computational and memory efficiency of algorithms for solving multi-label energy functions arising from discrete MRFs or CRFs. These methods are motivated by the observations that the performance of minimization algorithms

Groupwise image registration algorithms seek to establish dense correspondences between sets of images. Typically they involve iteratively improving the registration between each image and an evolving mean. A variety of methods have been proposed, which differ in their choice of

3D Position and orientation are two principal descriptions of shape in space. We describe how a structured light system, coupled with the illumination of a pseudo-random pattern and a suitable choice of feature points, can allow not only position but

In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this problem can be cast as the problem of segmenting samples drawn from multiple

This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addresses several major issues with prior work, including problems with algorithm implementation, computational complexity

Representing 2D and 3D data sets with implicit polynomials (IPs) is attractive because of its applicability to computer vision. Therefore, many IP fitting methods have already been proposed. However, existing fitting methods can be improved with respect to computational cost

Nonparametric kernel methods are widely used and proven to be successful in many statistical learning problems. Well-known examples include the kernel density estimate (KDE) for density estimation and the support vector machine (SVM) for classification. We propose a kernel classifier

In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error can not be exactly calculated and it must be estimated. Therefore, it is important to choose

The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. The current literature using Markov Random Fields (MRFs) and Conditional Random Fields (CRFs) often involves specific algorithm design,

Digital two-dimensional images are usually sampled on square lattices, while the receptors of the human eye are following a hexagonal structure. It is the main motivation for adopting hexagonal lattices. The fundamental operation in many image processing algorithms is to