In many situations, motion is naturally grasped as an ordered sequence of poses, expressing stages in a general development. Capturing the underlying dynamics is an important first step for gaining insight and constru...
详细信息
In many situations, motion is naturally grasped as an ordered sequence of poses, expressing stages in a general development. Capturing the underlying dynamics is an important first step for gaining insight and constructing a representation that has expressive power. The authors compute a pose function for a motion that qualitatively characterizes it in terms of dynamics. The study is based in dynamic systems analysis, constructing the function in phase space-a geometric depiction of the observed behaviour. The analysis itself is geometrical, but yields a representation of the visual dynamics. The global component of the pose function is an expression of external forces, and the local component and expression of deformation. The computation is simple, making only few general assumptions. The function captures all the relevant parameters of the motion in the sense that a qualitative simulation of the behavior is made possible, thus, facilitating subsequent reasoning about observed events.< >
The paper describes a function-based reasoning system that analyzes incomplete object shape descriptions of the type that can be acquired from a single view or from a sequence of views in which not all of the object i...
详细信息
The paper describes a function-based reasoning system that analyzes incomplete object shape descriptions of the type that can be acquired from a single view or from a sequence of views in which not all of the object is seen. Results are presented for the analysis of the partial shape descriptions extracted from over 200 real laser range finder images taken by a mobile robot. The work represents the first function-based recognition system to reason from incomplete knowledge of 3D object shape and also the first to analyze 3D shape descriptions acquired from real image data. Results demonstrate that function based recognition is a feasible and practical capability to pursue for autonomous robotic systems.< >
A method is presented to correct an approximate polygonal sketch of an image object boundary by adjusting the location of each corner point in the sketch. The method is suitable for the segmentation of unknown images ...
详细信息
A method is presented to correct an approximate polygonal sketch of an image object boundary by adjusting the location of each corner point in the sketch. The method is suitable for the segmentation of unknown images using interactive techniques, and for locating object boundaries in model-based segmentation. For each point, p, at which two lines meet in an open or closed polygonal sketch, a corner segmentation model is derived based on the angle, orientation and scale of the corner defined, and the image function f(x, y) in the immediate region about p. A corner template is then constructed and matched in a small neighborhood about p, thereby providing a corrected polygonal sketch. The segmentation model is correct in 95% of the cases, and the corner is accurately located.< >
This paper describes a computerized system to generate reliable line-of-sight radiometry and time-sequenced digital images in support of the design, development and test of advanced strategic surveillance systems and ...
详细信息
This paper describes a computerized system to generate reliable line-of-sight radiometry and time-sequenced digital images in support of the design, development and test of advanced strategic surveillance systems and for strategic engagement simulations required by the Ballistic Missile Defense Organization (BMDO). The Naval Research Laboratory (NRL) is developing the Strategic Scene Generation Model (SSOM) to provide valid images, and the capability to generate them, to various BMDO program elements and technology demonstration and measurements programs - thereby serving as a standard against which different BMD concepts and designs can be tested. Consequently, the SSOM has emerged as a highly visible focus for the ongoing development of phenomenology models and currently provides many projects in the BMD community with integrated, consistent, dependable, accessible and affordable state-of-science modeling and simulation capability.
In physics, a large class of problems, such as crystal growth or flame fronts propagation, are concerned with the motion of a deformable boundary separating time-dependent domains in which the interface itself satisfi...
详细信息
ISBN:
(纸本)081940747X
In physics, a large class of problems, such as crystal growth or flame fronts propagation, are concerned with the motion of a deformable boundary separating time-dependent domains in which the interface itself satisfies an equation of motion. Recently, similar questions have been introduced in image processing through the concept of physically based active contour models or snakes. In snake modeling, a deformable boundary endowed with elastic properties interacts with a constant external field derived from image properties. In the most general case, the interfacial motion is governed by a set of partial differential equations that nonlinearily couple interface intrinsics and external fields. In this paper, we present a general study of the kinematics of deformable regular (d-1)-dimensional interfaces evolving according to a first- order dynamic in a d-dimensional (d >= 2) space, in terms of their intrinsic geometric properties. We formulate local equations of motion and derive evolution theorems. These results are then applied to the kinematical study of a specific 2-dimensional active contour model when its optimization is performed via a first-order deformation process. This provides a significant insight in the instantaneous behavior of snake-like models as well as the nature of their steady-states.
A renovated facility is being used for a broad-based and flexible approach to teaching optics and optical systems at the undergraduate and M.S. levels. The range of topics included in the curriculum is from convention...
详细信息
ISBN:
(纸本)0819407321
A renovated facility is being used for a broad-based and flexible approach to teaching optics and optical systems at the undergraduate and M.S. levels. The range of topics included in the curriculum is from conventional geometrical and physical optics to laser physics, optical transformations, electro-optical devices, remote sensing and digital image processing. Emphasis of this paper is on the design and use of the new facilities, and the interrelationships of the various areas presented. The optics complex contains conventional optics teaching laboratory space with soft walls, an electronics teaching laboratory, a holography laboratory with darkroom, and a remote sensing computer simulation modeling and digital image processing laboratory. Moreover, a machine vision facility is a computer networked extended part of the digital image processing systems in an operational mode involving interfaced flexible machine cells. These cells are robotics interfaced in a flexible manufacturing system that is capable of process and machine part prototyping computer networked with a CAD system.
The authors report the implementation and evaluation of a function-based recognition system that takes an uninterrupted 3-D object shape as its input and reasons to determine if the object belongs to the superordinate...
详细信息
The authors report the implementation and evaluation of a function-based recognition system that takes an uninterrupted 3-D object shape as its input and reasons to determine if the object belongs to the superordinate category furniture, and if so, into which (sub)category it falls. The system has analyzed over 250 input objects, and the results largely agree with intuitive human interpretation of the objects. The study confirms that a relatively small number of knowledge primitives may be used as the basis for defining a relatively broad range of object categories. The greatest derivation from intuitive human interpretation occurs with objects that humans would not typically label as one of the known categories defined, but which have some novel orientation in which they could serve the function of one of these categories. This is because the system uses a purely function-based definition of the object category.< >
This paper shows how methods developed in the context of statistical physics can be used to analyze gray-scale texture synthesis procedures based on the probabilistic paradigm of Gibbs random fields (GRF). In particul...
详细信息
ISBN:
(纸本)081940697X
This paper shows how methods developed in the context of statistical physics can be used to analyze gray-scale texture synthesis procedures based on the probabilistic paradigm of Gibbs random fields (GRF). In particular, using the mean-field equations of the texture GRF, the existence of a bifurcation point indicating the presence of a phase transition in the textural pattern is shown. Using simulations, it is shown that a number of interesting phenomena occur at the bifurcation temperature like a sudden decrease in energy, sharp peaks in similarity measures between textural patterns, and sudden saturation of the mean-field variables. For texture synthesis, it is sufficient to simulate the mean-field equations near the bifurcation temperature.
暂无评论