18,720 Result(s)
within
Artificial Intelligence
Image Processing and Computer Vision
**e **an
Chapter
Conference Paper
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Chapter and Conference Paper
Occlusions and binocular stereo
Binocular stereo is the process of obtaining depth information from a pair of left and right cameras. In the past occlusions have been regions where stereo algorithms have failed. We show that, on the contrary...
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Chapter and Conference Paper
An egomotion algorithm based on the tracking of arbitrary curves
We are interested in the analysis of non polyhedral scenes. We will present an original egomotion algorithm, based on the tracking of arbitrary curves in a sequence of gray scale images. This differential meth...
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Chapter and Conference Paper
Edge tracing in a priori known direction
This paper presents a contour tracing algorithm based on a priori knowledge about searched edges. The algorithm is destined to trace edges having long fragments of approximately constant direction. This enable...
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Chapter and Conference Paper
Measuring the quality of hypotheses in model-based recognition
Model-based recognition methods generally search for geometrically consistent pairs of model and image features. The quality of an hypothesis is then measured using some function of the number of model features t...
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Chapter and Conference Paper
Fusion through interpretation
We discuss two problems in the context of building environment models from multiple range images. The first problem is how to find the correspondences between surfaces viewed in images and surfaces stored in t...
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Chapter and Conference Paper
Recovering shading from color images
Existing shape-from-shading algorithms assume constant reflectance across the shaded surface. Multi-colored surfaces are excluded because both shading and reflectance affect the measured image intensity. Given...
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Chapter and Conference Paper
Combining intensity and motion for incremental segmentation and tracking over long image sequences
This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically significant image resgions using local ...
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Chapter and Conference Paper
Figure-ground discrimination by mean field annealing
We formulate the figure-ground discrimination problem as a combinatorial optimization problem. We suggest a cost function that makes explicit a definition of shape based on interactions between image edges. Th...
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Chapter and Conference Paper
Learning to recognize faces from examples
We describe an implemented system that learns to recognize human faces under varying pose and illumination conditions. The system relies on symmetry operations to detect the eyes and the mouth in a face image,...
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Chapter and Conference Paper
Interpretation of remotely sensed images in a context of multisensor fusion
This paper presents a scene interpretation system in a context of multi-sensor fusion. We present how the real world and the interpreted scene are modeled; knowledge about sensors and multiple views notion (shot)...
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Chapter and Conference Paper
Texture: Plus ça change, ...
This paper presents an edge finder for textured images. Using rough constraints on the size of image regions, it estimates the local amount of variation in image values. These estimates are constructed so that...
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Chapter and Conference Paper
Active perception using DAM and estimation techniques
The Distributed Associative Memory (DAM) has been described previously as a powerful method for pattern recognition. We show that it also can be used for preattentive and attentive vision. The basis for the pr...
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Chapter and Conference Paper
A Bayesian multiple hypothesis approach to contour grou**
We present an approach to contour grou** based on classical tracking techniques. Edge points are segmented into smooth curves so as to minimize a recursively updated Bayesian probability measure. The resulti...
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Chapter and Conference Paper
An attentional prototype for early vision
Researchers have long argued that an attentional mechanism is required to perform many vision tasks. This paper introduces an attentional prototype for early visual processing. Our model is composed of a proce...
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Chapter and Conference Paper
Constraints for recognizing and locating curved 3D objects from monocular image features
This paper presents viewpoint-dependent constraints that relate image features such as t-junctions and inflections to the pose of curved 3D objects. These constraints can be used to recognize and locate object...
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Chapter and Conference Paper
Texture segmentation by minimizing vector-valued energy functionals: The Coupled-Membrane model
This paper presents a computational model that segments images based on the textural properties of object surfaces. The proposed Coupled-Membrane model applies the weak membrane approach to an image WI(σ,θ, x, y)
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Chapter and Conference Paper
Testing computational theories of motion discontinuities: A psychophysical study
This study reports results from three patients with bilateral brain lesions (A.F., C.D., and O.S.) and normal observers on psychophysical tasks, which examined the contribution of motion mechanisms to the extr...
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Chapter and Conference Paper
Estimation of relative camera positions for uncalibrated cameras
This paper considers, the determination of internal camera parameters from two views of a point set in three dimensions. A non-iterative algorithm is given for determining the focal lengths of the two cameras,...
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Chapter and Conference Paper
Hierarchical shape recognition based on 3-D multiresolution analysis
This paper introduces a method to create a hierarchical description of smooth curved surfaces based on scale-space analysis. We extend the scale-space method used in 1-D signal analysis to 3-D object. A 3-D sc...
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Chapter and Conference Paper
Motion and surface recovery using curvature and motion consistency
In this paper we have sketched out an algorithm for reconstructing a sequence of overlap** range images based on two key constraints: minimizing the local variation of curvature across adjacent views, and mi...
