New Approaches to Social History. Myth, Memory and Place: Monmouth and Bath 1750-1900

Borsay, Peter, 'New Approaches to Social History. Myth, Memory and Place: Monmouth and Bath 1750-1900', Journal of Social History (2006) 39(3) pp.867-889 RAE2008

Volcanic rifting at Martian grabens

Cook, Anthony; Mege, D.; Garel, E.; Lagabrielle, Y., (2003) 'Volcanic rifting at Martian grabens', Journal of Geophysical Research 108(E5) pp. 1-33 RAE2008

Antysemicki incydent prasowy. Kartki pocztowe i poznańskie gazety

Jednym z motywów ikonograficznych wykorzystywanych na reklamowych kartach pocztowych z przełomu XIX i XX wieku były strony tytułowe lokalnych gazet. Wokół poznańskich pocztówek z motywem „gazetowym” wydawanych przez Isaaka Plessnera wybuchła w 1904 roku polemika prasowa o silnie antysemickim podłożu. Zarzut dotyczył druku reklamy katolickiego czasopisma u żydowskiego wydawcy.

Herod Wielki i „nowa” Jerozolima

Summary: Herod the Great (73-4 B.C.E.) was a Roman client king of the small Jewish state Judaea in the last three decades before the common era. An essential aspect of Herod's reign was his role as a builder. Remarkably innovative, he created an astonishing record of architectural achievement, not only in Judaea but also throughout Greece and the Roman East. Herod’s own inclinations caused him to engage in a building program that paralleled that of his patron, Augustus. The most famous and ambitious project was the expansion of Jerusalem and rebuilding of the Second Temple. Josephus Flavius, a 1st-century Jewish historian, in his descriptions of the visual structure of Jerusalem delivers the picture of the Jewish society in the latter Second Temple Judaea, who were fundamentally antagonistic toward images. For Josephus, Roman iconography, such as Herod’s eagle from the Jerusalem Temple, represents not only political domination but also an unambiguous religious abomination. Visual conservatism in the public realm finds important verification in the excavated remains of Jerusalem’s Temple Mount and the Herodian Quarter (Upper City). Geometric patterns and forms predominate on the floor mosaic, stone furniture, in architectural detail and funerary remains. No human imagery is present in the Jewish context. However, Herodian structures in Jerusalem reflect the architectural and visual vocabulary of their time which contains popular elements of Roman domination in the ancient world.

Próba zastosowania lotniczych termowizyjnych obrazów wideo do wykrywania miejsc nielegalnego składowania odpadów zwierzęcych

Access to the remote sensing data was increasing in Poland since 1989. This procccess had stimulating impact on scientific research in the scope of changes in the environment. Special attention should be given to the thermal imagery methods because of its information potential. Presented paper discusses the possibilities of using information from thermal images for detecting of places of illegal dumping of animal waste in the ground. On the basis of earlier survey and gathered data draft fl ight plan was created, covering the sorroundings of Śmiłowo (around 30 sq km). Theoretical thesis for the subject was an assumption that all disturbances of the ground and soil structure should give visible representation in both thermal and visible images. Moreover the process of decay of animal tissues should be the source of heat, which can be observed through thermal sensor. Several places of potential dumping of animal waste were selected. For detailed ground verifi cation eight of them were chosen. In these location geological drillings were performed and than analysis of the samples. Thermovision is a method with great potential for the monitoing of the environment, but its effectiveness depends on the access to another sources of geoinformation.

Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints

An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a texture map given the current shape estimate. The texture map and its associated residual error image are obtained via maximum a posteriori estimation and reprojection of the multiple views into texture space. Next, the surface shape is adjusted to minimize residual error in texture space. The surface is deformed towards a photometrically-consistent solution via a series of 1D epipolar searches at randomly selected surface points. The texture space formulation has improved computational complexity over standard image-based error approaches, and allows computation of the reprojection error and uncertainty for any point on the surface. Moreover, shape adjustments can be constrained such that the recovered model's silhouette matches those of the input images. Experiments with real world imagery demonstrate the validity of the approach.

Surface Reconstruction from Multiple Views using Rational B-Splines

A method for reconstructing 3D rational B-spline surfaces from multiple views is proposed. The method takes advantage of the projective invariance properties of rational B-splines. Given feature correspondences in multiple views, the 3D surface is reconstructed via a four step framework. First, corresponding features in each view are given an initial surface parameter value (s; t), and a 2D B-spline is fitted in each view. After this initialization, an iterative minimization procedure alternates between updating the 2D B-spline control points and re-estimating each feature's (s; t). Next, a non-linear minimization method is used to upgrade the 2D B-splines to 2D rational B-splines, and obtain a better fit. Finally, a factorization method is used to reconstruct the 3D B-spline surface given 2D B-splines in each view. This surface recovery method can be applied in both the perspective and orthographic case. The orthographic case allows the use of additional constraints in the recovery. Experiments with real and synthetic imagery demonstrate the efficacy of the approach for the orthographic case.

Surface Reconstruction from Multiple Views using Rational B-Splines and Knot Insertion

A method for reconstruction of 3D rational B-spline surfaces from multiple views is proposed. Given corresponding features in multiple views, though not necessarily visible in all views, the surface is reconstructed. First 2D B-spline patches are fitted to each view. The 3D B-splines and projection matricies can then be extracted from the 2D B-splines using factorization methods. The surface fit is then further refined via an iterative procedure. Finally, a hierarchal fitting scheme is proposed to allow modeling of complex surfaces by means of knot insertion. Experiments with real imagery demonstrate the efficacy of the approach.

Deformable Shape Detection and Description via Model-Based Region Grouping

A method for deformable shape detection and recognition is described. Deformable shape templates are used to partition the image into a globally consistent interpretation, determined in part by the minimum description length principle. Statistical shape models enforce the prior probabilities on global, parametric deformations for each object class. Once trained, the system autonomously segments deformed shapes from the background, while not merging them with adjacent objects or shadows. The formulation can be used to group image regions based on any image homogeneity predicate; e.g., texture, color, or motion. The recovered shape models can be used directly in object recognition. Experiments with color imagery are reported.

Recursive Estimation of Motion and Planar Structure

A specialized formulation of Azarbayejani and Pentland's framework for recursive recovery of motion, structure and focal length from feature correspondences tracked through an image sequence is presented. The specialized formulation addresses the case where all tracked points lie on a plane. This planarity constraint reduces the dimension of the original state vector, and consequently the number of feature points needed to estimate the state. Experiments with synthetic data and real imagery illustrate the system performance. The experiments confirm that the specialized formulation provides improved accuracy, stability to observation noise, and rate of convergence in estimation for the case where the tracked points lie on a plane.

Linking Attention to Learning, Expectation, Competition, and Consciousness

The concept of attention has been used in many senses, often without clarifying how or why attention works as it does. Attention, like consciousness, is often described in a disembodied way. The present article summarizes neural models and supportive data and how attention is linked to processes of learning, expectation, competition, and consciousness. A key them is that attention modulates cortical self-organization and stability. Perceptual and cognitive neocortex is organized into six main cell layers, with characteristic sub-lamina. Attention is part of unified design of bottom-up, horizontal, and top-down interactions among indentified cells in laminar cortical circuits. Neural models clarify how attention may be allocated during processes of visual perception, learning and search; auditory streaming and speech perception; movement target selection during sensory-motor control; mental imagery and fantasy; and hallucination during mental disorders, among other processes.

Self-Organizing Hierarchical Knowledge Discovery by an ARTMAP Image Fusion System

Classifying novel terrain or objects front sparse, complex data may require the resolution of conflicting information from sensors working at different times, locations, and scales, and from sources with different goals and situations. Information fusion methods can help resolve inconsistencies, as when evidence variously suggests that an object's class is car, truck, or airplane. The methods described here consider a complementary problem, supposing that information from sensors and experts is reliable though inconsistent, as when evidence suggests that an object's class is car, vehicle, and man-made. Underlying relationships among objects are assumed to be unknown to the automated system or the human user. The ARTMAP information fusion system used distributed code representations that exploit the neural network's capacity for one-to-many learning in order to produce self-organizing expert systems that discover hierarchical knowledge structures. The system infers multi-level relationships among groups of output classes, without any supervised labeling of these relationships.

Processing of Synthetic Aperture Radar Images by a Multiscale Boundary Contour System and Feature Contour System

An improved Boundary Contour System (BCS) and Feature Contour System (FCS) neural network model of preattentive vision is applied to large images containing range data gathered by a synthetic aperture radar (SAR) sensor. The goal of processing is to make structures such as motor vehicles, roads, or buildings more salient and more interpretable to human observers than they are in the original imagery. Early processing by shunting center-surround networks compresses signal dynamic range and performs local contrast enhancement. Subsequent processing by filters sensitive to oriented contrast, including short-range competition and long-range cooperation, segments the image into regions. The segmentation is performed by three "copies" of the BCS and FCS, of small, medium, and large scales, wherein the "short-range" and "long-range" interactions within each scale occur over smaller or larger distances, corresponding to the size of the early filters of each scale. A diffusive filling-in operation within the segmented regions at each scale produces coherent surface representations. The combination of BCS and FCS helps to locate and enhance structure over regions of many pixels, without the resulting blur characteristic of approaches based on low spatial frequency filtering alone.

Processing of Synthetic Aperture Radar Images by the Boundary Contour System and Feature Contour System

An improved Boundary Contour System (BCS) and Feature Contour System (FCS) neural network model of preattentive vision is applied to two large images containing range data gathered by a synthetic aperture radar (SAR) sensor. The goal of processing is to make structures such as motor vehicles, roads, or buildings more salient and more interpretable to human observers than they are in the original imagery. Early processing by shunting center-surround networks compresses signal dynamic range and performs local contrast enhancement. Subsequent processing by filters sensitive to oriented contrast, including short-range competition and long-range cooperation, segments the image into regions. Finally, a diffusive filling-in operation within the segmented regions produces coherent visible structures. The combination of BCS and FCS helps to locate and enhance structure over regions of many pixels, without the resulting blur characteristic of approaches based on low spatial frequency filtering alone.

Revisiting Irish poetic modernisms

This thesis discusses Irish Modernist poetry written between 1905 and 1970, specifically the poetry of Joseph Campbell (1879-1944), Thomas MacGreevy (1893-1967), Denis Devlin (1908-1959) and Brian Coffey (1905-1995). All four poets have been largely neglected in criticism until a growth of interest encouraged by Michael Smith and Trevor Joyce’s New Writers’ Press during the 1970s. J.C.C. Mays, Stan Smith, Susan Schreibman, Terence Brown, Patricia Coughlan and Alex Davis published subsequent critical support during the ‘80s and ‘90s. My research aims to highlight poetry previously omitted from the canon of Irish literature, those with connections to British or continental European literary movements as well as poetry by women writers and writers from the North. Part of this exploration of Irish Poetic Modernisms involves an investigation of intersections between poetic modernisms and Irish war poetry and of depictions of Irish masculinity in the poetry of Devlin and Coffey. My discussion of Campbell’s poetry focuses on links between the early regional modernism of his poetry and later Irish modernist poetry, including his participation in the Ulster Literary Theatre, with the Literary Revival community in Dublin and his association with the proto-Imagist movement in London. My examination of connections between Irish war poetry and Irish modernism allows me to discuss the writing of several underrecognized Irish poets who are contemporaries and near contemporaries of the main subjects of my thesis. Thomas MacGreevy’s poetry is the most clear case study of the links between Irish modernist poetry and poetry about Ireland’s participation in the Great War. MacGreevy’s writing reveals his multiple allegiances: he both elegizes and challenges the increasing cultural inhibitions of Free State Ireland. Denis Devlin’s poetic portrayals of Ireland reveal his rejection both of the Literary Revival’s fascination with Celticism and of Dublin’s literary community while upholding tradition poetic gender roles. My research explores representations of masculinity and Irish politics, including heroic masculine imagery, in the long poems of Devlin and Coffey. My discussion of Brian Coffey considers the importance of the figure of the “poet as maker” to his writing and his relationship with Ireland during his long writing career. I also consider his role as the editor and executor of Devlin’s literary estate and the impact that had on both the latter’s posthumous reputation and Coffey’s later writing.