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Accurate Optical Flow in Noisy Image Sequences

by Hagen Spies, Hanno Scharr , 2001
"... Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is designed to enhance optical-flow-like spatiotemporal structures. This is achieved by selecting diffusivities in a special ma ..."
Abstract - Cited by 16 (4 self) - Add to MetaCart
Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is designed to enhance optical-flow-like spatiotemporal structures. This is achieved by selecting diffusivities in a special

Adaptive Motion-Compensated Filtering Noisy Image Sequences

by Mehmet K. Özkan, Mehmet K. (}zkan, M. Ibrahim Sezan, A. Murat Tekalp, Senior Member, Senior Member - IEEE Trans. Circuits and Systems for Video Technology , 1993
"... We propose a ilovei adaptive spatiotemporal filter, called the adaptive weighted averaging (AWA) filter, for effective noise suppression in image sequences without introducing visually disturbing blurring artifacts. Filtering is performed by computing the weighted average of image values within a sp ..."
Abstract - Cited by 41 (0 self) - Add to MetaCart
We propose a ilovei adaptive spatiotemporal filter, called the adaptive weighted averaging (AWA) filter, for effective noise suppression in image sequences without introducing visually disturbing blurring artifacts. Filtering is performed by computing the weighted average of image values within a

3-D motion estimation, understanding and prediction from noisy image sequences

by Juyang Weng, Student Member, Thomas S. Huang, Narendra Ahuja, Senior Member - IEEE Trans. Pattern Analysis and Machine Intelligence , 1987
"... Abstract-This paper presents an approach to understanding general 3-D motion of a rigid body from image sequences. Based on dynamics, a locally constant angular momentum (LCAM) model is introduced. The model is local in the sense that it is applied to a limited number of image frames at a time. Spec ..."
Abstract - Cited by 52 (2 self) - Add to MetaCart
and good estimates of parameters over the entire image sequence. Simulation results are given for noisy synthetic data and images taken of a model airplane. Index Terms-Computer vision, dynamic model, image sequence analysis, motion, motion estimation, motion prediction, motion understanding. I.

Automatic Enhancement of Noisy Image Sequences through Local Spatio-Temporal Spectrum Analysis

by Oscar Nestares , 1999
"... A fully automatic method is proposed to produce an enhanced image from a very noisy sequence consisting of a translating object over a background with different translation motion. The method is based on averaging registered versions of the frames in which the object has been motion compensated. Con ..."
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A fully automatic method is proposed to produce an enhanced image from a very noisy sequence consisting of a translating object over a background with different translation motion. The method is based on averaging registered versions of the frames in which the object has been motion compensated

Representing Moving Images with Layers

by John Y.A. Wang, Edward H. Adelson , 1994
"... We describe a system for representing moving images with sets of overlapping layers. Each layer contains an intensity map that defines the additive values of each pixel, along with an alpha map that serves as a mask indicating the transparency. The layers are ordered in depth and they occlude each o ..."
Abstract - Cited by 542 (11 self) - Add to MetaCart
other in accord with the rules of compositing. Velocity maps define how the layers are to be warped over time. The layered representation is more flexible than standard image transforms and can capture many important properties of natural image sequences. We describe some methods for decomposing image

Detecting faces in images: A survey

by Ming-hsuan Yang, David J. Kriegman, Narendra Ahuja - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2002
"... Images containing faces are essential to intelligent vision-based human computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation, and expression recognition. However, many reported methods assume that the faces in an image or an image se ..."
Abstract - Cited by 839 (4 self) - Add to MetaCart
sequence have been identified and localized. To build fully automated systems that analyze the information contained in face images, robust and efficient face detection algorithms are required. Given a single image, the goal of face detection is to identify all image regions which contain a face regardless

Photobook: Content-Based Manipulation of Image Databases

by A. Pentland, R. W. Picard, S. Sclaroff , 1995
"... We describe the Photobook system, which is a set of interactive tools for browsing and searching images and image sequences. These query tools differ from those used in standard image databases in that they make direct use of the image content rather than relying on text annotations. Direct search o ..."
Abstract - Cited by 542 (0 self) - Add to MetaCart
We describe the Photobook system, which is a set of interactive tools for browsing and searching images and image sequences. These query tools differ from those used in standard image databases in that they make direct use of the image content rather than relying on text annotations. Direct search

Managing Gigabytes: Compressing and Indexing Documents and Images - Errata

by I. H. Witten, A. Moffat, T. C. Bell , 1996
"... > ! "GZip" page 64, Table 2.5, line "progp": "43,379" ! "49,379" page 68, Table 2.6: "Mbyte/sec" ! "Mbyte/min" twice in the body of the table, and in the caption "Mbyte/second" ! "Mbyte/minute" page 70, para 4, line ..."
Abstract - Cited by 978 (48 self) - Add to MetaCart
, Figure 3.7: The coding shown in part (c) cannot be decoded ambiguously. For example, the sequence "1010 0000 0001 0000

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

by Yongyue Zhang, Michael Brady, Stephen Smith - IEEE TRANSACTIONS ON MEDICAL. IMAGING , 2001
"... The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images. However, being a histogram-based model, the FM has an intrinsic limi ..."
Abstract - Cited by 639 (15 self) - Add to MetaCart
The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images. However, being a histogram-based model, the FM has an intrinsic

Nonlinear total variation based noise removal algorithms

by Leonid I. Rudin, Stanley Osher, Emad Fatemi , 1992
"... A constrained optimization type of numerical algorithm for removing noise from images is presented. The total variation of the image is minimized subject to constraints involving the statistics of the noise. The constraints are imposed using Lagrange multipliers. The solution is obtained using the g ..."
Abstract - Cited by 2271 (51 self) - Add to MetaCart
to be state-of-the-art for very noisy images. The method is noninvasive, yielding sharp edges in the image. The technique could be interpreted as a first step of moving each level set of the image normal to itself with velocity equal to the curvature of the level set divided by the magnitude of the gradient
Results 1 - 10 of 23,725