Modelling Dynamic Scenes by Registrating Multi-View Image Sequences

We present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimizes the prediction error of the estimated shape and motion. Both problems then translate into a generic image registration task. The latter is entrusted to a similarity measure chosen depending on imaging conditions and scene properties. In particular, our method can be made robust to appearance changes due to non-Lambertian materials and illumination changes. Our method results in a simpler, more flexible, and more efficient implementation than existing deformable surface approaches. The computation time on large datasets does not exceed thirty minutes. Moreover, our method is compliant with a hardware implementation with graphics processor units. Our stereovision algorithm yields very good results on a variety of datasets including specularities and translucency. We have successfully tested our scene flow algorithm on a very challenging multi-view video sequence of a non-rigid event

Generation, Estimation and Tracking of Faces

This thesis describes techniques for the construction of face models for both computer graphics and computer vision applications. It also details model-based computer vision methods for extracting and combining data with the model. Our face models respect the measurements of populations described by face anthropometry studies. In computer graphics, the anthropometric measurements permit the automatic generation of varied geometric models of human faces. This is accomplished by producing a random set of face measurements generated according to anthropometric statistics. A face fitting these measurements is realized using variational modeling. In computer vision, anthropometric data biases face shape estimation towards more plausible individuals. Having such a detailed model encourages the use of model-based techniques—we use a physics-based deformable model framework. We derive and solve a dynamic system which accounts for edges in the image and incorporates optical flow as a motion constraint on the model. Our solution ensures this constraint remains satisfied when edge information is used, which helps prevent tracking drift. This method is extended using the residuals from the optical flow solution. The extracted structure of the model can be improved by determining small changes in the model that reduce this error residual. We present experiments in extracting the shape and motion of a face from image sequences which exhibit the generality of our technique, as well as provide validation

Aerospace Medicine and Biology: A continuing bibliography with indexes (supplement 141)

This special bibliography lists 267 reports, articles, and other documents introduced into the NASA scientific and technical information system in April 1975

Aeronautical Engineering: A Continuing Bibliography with Indexes

This report lists reports, articles and other documents recently announced in the NASA STI Database

Dermal Denticles of Three Slowly Swimming Shark Species: Microscopy and Flow Visualization

Shark skin has for many years inspired engineers to produce biomimetic structures reducing surface drag or acting as an anti-fouling layer. Both effects are presumed to be consequences of the structure of shark skin that is composed of arrays of so-called dermal denticles. However, the understanding of the full functional role of the dermal denticles is still a topic of research. We report optical microscopy and scanning electron microscopy of dermal denticles from three slowly swimming shark species for which the functional role of the dermal denticles is suggested as one of defense (possibly understood as anti-fouling) and/or abrasion strength. The three species are Greenland shark (Somnosius microcephalus), small-spotted catshark (Scyliorhinus canicula) and spiny dogfish (Squalus acanthias). Samples were taken at over 30 different positions on the bodies of the sharks. In addition, we demonstrate that the flow pattern near natural shark skin can be measured by micro-PIV (particle image velocimetry). The microfluidic experiments are complemented by numerical flow simulations. Both visualize unsteady flow, small eddies, and recirculation bubbles behind the natural dermal denticles

Witness: The Modern Writer as Witness

Editor\u27s Note [Excerpt] Magic can mean many different things, especially for writers. Magic can be an illusion, a sleight of hand designed to trick onlookers into believing the impossible. Or magic can be a supernatural force in a world of harsh reality, a set of beliefs that sits just outside the realms of organized religion and advanced technology. Wizards and demons, Las Vegas entertainers and houngans --they all practice a kind of sorcery. For poets and prose writers, though, magic affords an opportunity for us to stretch the limitations of the physical world in search of new themes, settings, and characters. Magic is a door we eagerly walk through to reach new lands. We at Witness have thoroughly enjoyed the process of selecting the themed works we have collected here, mainly because the idea of enchantment is inspiring. There is the possibility of positive charms; there is a chance for dark witchery. And sometimes the spell cast by a character is nebulous, difficult to categorize. It’s arguable that we cherish these incantations the most, since they leave us in a state of wonderment bordering on disorientation. Yes, magic can also leave us bewildered and thankful for the bewilderment.https://digitalscholarship.unlv.edu/witness/1001/thumbnail.jp

Efficient Human Pose Estimation with Image-dependent Interactions

Human pose estimation from 2D images is one of the most challenging and computationally-demanding problems in computer vision. Standard models such as Pictorial Structures consider interactions between kinematically connected joints or limbs, leading to inference cost that is quadratic in the number of pixels. As a result, researchers and practitioners have restricted themselves to simple models which only measure the quality of limb-pair possibilities by their 2D geometric plausibility. In this talk, we propose novel methods which allow for efficient inference in richer models with data-dependent interactions. First, we introduce structured prediction cascades, a structured analog of binary cascaded classifiers, which learn to focus computational effort where it is needed, filtering out many states cheaply while ensuring the correct output is unfiltered. Second, we propose a way to decompose models of human pose with cyclic dependencies into a collection of tree models, and provide novel methods to impose model agreement. Finally, we develop a local linear approach that learns bases centered around modes in the training data, giving us image-dependent local models which are fast and accurate. These techniques allow for sparse and efficient inference on the order of minutes or seconds per image. As a result, we can afford to model pairwise interaction potentials much more richly with data-dependent features such as contour continuity, segmentation alignment, color consistency, optical flow and multiple modes. We show empirically that these richer models are worthwhile, obtaining significantly more accurate pose estimation on popular datasets

Less realism : more meaning : evaluating imagery for the graphic designer

Typography\u27 as a defining term has become interchangcable with \u27graphic design\u27. and while font choice and application is seen as of paramount importance. image choice, virtually half , . of the communication design equation, is neglected in the theory and in pratice is left to the instinct of the designer. In this thesis I try to find approaches for graphic designers to understand image to the degree that they understand type. These approaches are tested through assignments for graphic design students and the results recorded and analysed. I seek to address the paradox that we are able to communicate more accurately through less accurately rendered images. I will explain how the human visual system. evolved over time by looking only upon the natural world in all its reality. can look upon a stick-figure and make an emotional and intellectual connection. I examine the design implications of this strange faculty of the visual system. Gombrich. Arnheim and others have explored realism in, and applied psychology to, art in order to become better art historians. I explore the implications in the more pragmatic. economically imperative field of design of moving away from realism in the visual aspects of communication

Remote sensing in the coastal and marine environment. Proceedings of the US North Atlantic Regional Workshop

Presentations were grouped in the following categories: (1) a technical orientation of Earth resources remote sensing including data sources and processing; (2) a review of the present status of remote sensing technology applicable to the coastal and marine environment; (3) a description of data and information needs of selected coastal and marine activities; and (4) an outline of plans for marine monitoring systems for the east coast and a concept for an east coast remote sensing facility. Also discussed were user needs and remote sensing potentials in the areas of coastal processes and management, commercial and recreational fisheries, and marine physical processes