Consistent Temporal Variations in Many Outdoor Scenes
Published 1 June 2007
Nathan Jacobs, Nathaniel Roman, Robert Pless
Citations174
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Using a slight variant to PCA, this paper can decompose all cameras into comparable components and annotate images with respect to surface orientation, weather, and seasonal change.
Abstract
This paper details an empirical study of large image sets taken by static cameras. These images have consistent correlations over the entire image and over time scales of days to months. Simple second-order statistics of such image sets show vastly more structure than exists in generic natural images or video from moving cameras. Using a slight variant to PCA, we can decompose all cameras into comparable components and annotate images with respect to surface orientation, weather, and seasonal change. Experiments are based on a data set from 538 cameras across the United States which have collected more than 17 million images over the the last 6 months.
Keywords
Computer ScienceNeurosciencePhysics and Astronomy
Annual Review of NeuroscienceNatural Image Statistics and Neural Representation
2,535 Citations2001Eero P. Simoncelli, Bruno A. Olshausen
It has long been assumed that sensory neurons are adapted to the statistical properties of the signals to which they are exposed, but recent developments in statistical modeling have enabled researchers to study more sophisticated statistical models for visual images, to validate these models empirically against large sets of data, and to begin experimentally testing the efficient coding hypothesis.
Lecture notes in computer scienceIncremental Singular Value Decomposition of Uncertain Data with Missing Values
498 Citations2002Matthew Brand
In computer vision, the incremental SVD is used to develop an efficient and unusually robust subspace-estimating flow-based tracker, and to handle occlusions/missing points in structure-from-motion factorizations.
Network Computation in Neural SystemsNatural image statistics and efficient coding
490 Citations1996Bruno A. Olshausen, David Field
It is suggested that a good objective for an efficient coding of natural Scenes is to maximize the sparseness of the representation, and it is shown that a network that learns sparse codes of natural scenes succeeds in developing localized, oriented, bandpass receptive fields similar to those in the mammalian striate cortex.
Network Computation in Neural SystemsStatistics of natural time-varying images
459 Citations1995Dawei Dong, Joseph J. Atick
Proceedings of the Royal Society B Biological SciencesIndependent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex
428 Citations1998J. H. van Hateren, Daniel Ruderman
It is shown that performing independent component analysis (ICA) on video sequences of natural scenes produces results with qualitatively similar spatio-temporal properties, contrary to earlier ICA results on static images, which gave only filters at the finest possible spatial scale.
Network Computation in Neural SystemsThe principal components of natural images
239 Citations1992Peter Hancock, Roland Baddeley +1 more
Shedding light on the weather
171 Citations2003Srinivasa G. Narasimhan, Shree K. Nayar
A new physics-based model for the multiple scattering of light rays as they travel from a source to an observer is developed and it is demonstrated that a camera observing a distant source can serve as a "visual weather meter".
Network Computation in Neural SystemsStatistics of natural time-varying images
134 Citations1995Dawei Dong, Joseph J. Atick
Lecture notes in computer scienceAll the Images of an Outdoor Scene
78 Citations2002Srinivasa G. Narasimhan, Chi Wang +1 more
A database of high quality registered and calibrated images of a fixed outdoor scene captured every hour for over 5 months, which has potential implications for vision, graphics, image processing and atmospheric sciences and can be a testbed for many algorithms.
Learning sparse, overcomplete representations of time-varying natural images
63 Citations2004Bruno A. Olshausen
An overcomplete dictionary of space-time functions is adapted so as to represent time-varying natural images with maximum sparsity, and it is suggested that such a coding scheme may be at work in the visual cortex.
Clustering Appearance for Scene Analysis
46 Citations2006Sanjeev J. Koppal, Srinivasa G. Narasimhan
This work transforms the appearance profiles and proposes a metric that can be used with any unsupervised clustering algorithm to obtain iso-normal clusters, which serve as excellent priors for scene geometry and can strongly impact any vision algorithm that attempts to estimate material, geometry and/or lighting properties in a scene from images.