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

We propose a generalized equation to represent a continuum of surface reconstruction solutions of a given non-integrable gradient field. We show that common approaches such as Poisson solver and Frankot-Chellappa algorithm are special cases of this generalized equation. For a N x N pixel grid, the subspace of all integrable gradient fields is of dimension N 2 - 1. Our framework can be applied to derive a range of meaningful surface reconstructions from this high dimensional space. The key observation is that the range of solutions is related to the degree of anisotropy in applying weights to the gradients in the integration process. While common approaches use isotropic weights, we show that by using a progression of spatially varying anisotropic weights, we can achieve significant improvement in reconstructions. We propose (a) α-surfaces using binary weights, where the parameter a allows trade off between smoothness and robustness, (b) M-estimators and edge preserving regularization using continuous weights and (c) Diffusion using affine transformation of gradients. We provide results on photometric stereo, compare with previous approaches and show that anisotropic treatment discounts noise while recovering salient features in reconstructions.

What Is the Range of Surface Reconstructions from a Gradient Field

A method and system for modeling and processing vehicular traffic data and information, comprising: (a) transforming a spatial representation of a road network into a network of spatially interdependent and interrelated oriented road sections, for forming an oriented road section network; (b) acquiring a variety of the vehicular traffic data and information associated with the oriented road section network, from a variety of sources; (c) prioritizing, filtering, and controlling, the vehicular traffic data and information acquired from each of the variety of sources; (d) calculating a mean normalized travel time (NTT) value for each oriented road section of said oriented road section network using the prioritized, filtered, and controlled, vehicular traffic data and information associated with each source, for forming a partial current vehicular traffic situation picture associated with each source; (e) fusing the partial current traffic situation picture associated with each source, for generating a single complete current vehicular traffic situation picture associated with entire oriented road section network; (f) predicting a future complete vehicular traffic situation picture associated with the entire oriented road section network; and (g) using the current vehicular traffic situation picture and the future vehicular traffic situation picture for providing a variety of vehicular traffic related service applications to end users.

Method and system for modeling and processing vehicular traffic data and information and applying thereof

Apparatus, systems, and methods are provided for substantially continuous biometric identification (CBID) of an individual using eye signals in real time. The apparatus is included within a wearable computing device with identification of the device wearer based on iris recognition within one or more cameras directed at one or both eyes, and/or other physiological, anatomical and/or behavioral measures. Verification of device user identity can be used to enable or disable the display of secure information. Identity verification can also be included within information that is transmitted from the device in order to determine appropriate security measures by remote processing units. The apparatus may be incorporated within wearable computing that performs other functions including vision correction, head-mounted display, viewing the surrounding environment using scene camera(s), recording audio data via a microphone, and/or other sensing equipment.

Systems and methods for discerning eye signals and continuous biometric identification

A sequence of biometric data images is received, such as, for example, a sequence of fingerprint images, and a set of biometric data images is selected from the sequence of images. The set of images can include one or more segments of at least one image in the sequence of images. One or more portions of at least one image of biometric data in the set of images can be selected to be included in the unified image of biometric data. The unified image of biometric data can be constructed using the one or more portions of the at least one image of biometric data. If the unified image of biometric data is not complete, a user can be prompted for one or more additional images of biometric data.

Fingerprint Sensing and Enrollment

A method and system for fingerprint template synthesis from multiple fingerprint images is provided. A first set of minutiae points is extracted from a first fingerprint image. A second set of minutiae points is extracted from a second fingerprint image. The orientation is calculated for a plurality of minutiae points selected from the first set of minutiae points based on the first fingerprint image. Simulated points are added to the first set of minutiae points, wherein simulated points are created based on the location and orientation of minutiae points in the plurality of minutiae points. The first set of minutiae points and the second set of minutiae points are registered and the first set of minutiae points and the second set of minutiae points are combined.

A method for fingerprint template synthesis and fingerprint mosaicing using a point matching algorithm

A geospatial modeling system (20) may include a geospatial model database (21) and a processor (22). The processor (22) may cooperate with the geospatial model database (21) for inpainting data into at least one void (41a) in geospatial model terrain data (42a) based upon propagating contour data from outside the at least one void into the at least one void.

Geospatial modeling system providing non-linear inpainting for voids in geospatial model cultural feature data and related methods

A geospatial modeling system (20) may include a geospatial data storage device (21), and a processor (22) cooperating with the geospatial data storage device for selectively inpainting data into at least one void in geospatial model data using a partial differential equation (PDE) algorithm and an exemplar algorithm.

Exemplar/pde-based technique to fill null regions and corresponding accuracy assessment

A method and system for synthesizing multiple fingerprint images into a single synthesized fingerprint template. Sets of features are extracted from each of three or more fingerprint images. Pair-wise comparisons identifying correspondences between sets of features are performed between each set of features and every other set of features. Transformations (translation and rotation) for each set of features are simultaneously calculated based on the pair-wise correspondences, and each set of features is transformed accordingly. A synthesized fingerprint template is generated by simultaneously registering the transformed sets of features.

A method for n-wise registration and mosaicing of partial prints

A geospatial modeling system (20) may include a geospatial model database (21) containing geospatial model data, a display (23), and a processor (22). The processor (22) may cooperate with the geospatial model database (21) and the display (23) for determining a respective group of tree crown vegetation points from the geospatial model data for each tree of a plurality of trees, and for displaying a respective simulated tree trunk beneath each group of tree crown vegetation points. The processor (22) may generate each simulated tree trunk to have a tree trunk height (h) based upon heights of the respective group of tree crown vegetation points.

Josef Allen

Papers

A method for fingerprint template synthesis and fingerprint mosaicing using a point matching algorithm

Geospatial modeling system providing non-linear inpainting for voids in geospatial model cultural feature data and related methods

Exemplar/pde-based technique to fill null regions and corresponding accuracy assessment

A method for n-wise registration and mosaicing of partial prints

Geospatial modeling system providing simulated tree trunks for groups of tree crown vegitation points and related methods