Characteristics of Natural Scenes Related to the Fractal Dimension
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from shading
International Journal of Computer Vision
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Shape from Texture Using Local Spectral Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model structure and reliable inference
Perception as Bayesian inference
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
The nature of mathematical modeling
The nature of mathematical modeling
Structure driven image database retrieval
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
International Journal of Computer Vision - Special issue on computer vision research at the Technion
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
The steerable pyramid: a flexible architecture for multi-scale derivative computation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Semantic Organization of Scenes Using Discriminant Structural Templates
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Global semantic classification of scenes using power spectrum templates
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
Contextual Priming for Object Detection
International Journal of Computer Vision
Scene-Centered Description from Spatial Envelope Properties
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Active estimation of distance in a robotic system that replicates human eye movement
Robotics and Autonomous Systems
Using depth features to retrieve monocular video shots
Proceedings of the 6th ACM international conference on Image and video retrieval
Recovering Surface Layout from an Image
International Journal of Computer Vision
3-D Depth Reconstruction from a Single Still Image
International Journal of Computer Vision
Image-based system for measuring dimension of short hollow cylinders
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Inter-Image Statistics for 3D Environment Modeling
International Journal of Computer Vision
Putting Objects in Perspective
International Journal of Computer Vision
Natural Versus Artificial Scene Classification by Ordering Discrete Fourier Power Spectra
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Unsupervised modeling of objects and their hierarchical contextual interactions
Journal on Image and Video Processing - Special issue on patches in vision
Make3D: depth perception from a single still image
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
A nonparametric learning approach to range sensing from omnidirectional vision
Robotics and Autonomous Systems
Automatic depth profiling of 2D cinema- and photographic images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Horizon estimation: perceptual and computational experiments
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
GrabcutD: improved grabcut using depth information
Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
Non-local characterization of scenery images: statistics, 3D reasoning, and a generative model
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Visual assistance to an advanced mechatronic platform for pick and place tasks
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
Exploiting Textons distributions on spatial hierarchy for scene classification
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Exploiting depth information for indoor-outdoor scene classification
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Prediction of the inter-observer visual congruency (IOVC) and application to image ranking
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Binocular stereopsis of traditional Chinese paintings
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Perceptual depth estimation from a single 2d image based on visual perception theory
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Real-time estimation of 3D scene geometry from a single image
Pattern Recognition
Aesthetic guideline driven photography by robots
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Multi-scale gist feature manifold for building recognition
Neurocomputing
Occlusion cues for image scene layering
Computer Vision and Image Understanding
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
An object expression system using depth-maps
Multimedia Tools and Applications
21/2D scene reconstruction of indoor scenes from single RGB-D images
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Journal of Cognitive Neuroscience
A data driven depth estimation for 3D video conversion
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Towards precise POI localization with social media
Proceedings of the 21st ACM international conference on Multimedia
International Journal of Computer Vision
A flexible architecture for multi-view 3DTV based on uncalibrated cameras
Journal of Visual Communication and Image Representation
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In the absence of cues for absolute depth measurements as binocular disparity, motion, or defocus, the absolute distance between the observer and a scene cannot be measured. The interpretation of shading, edges, and junctions may provide a 3D model of the scene but it will not provide information about the actual 驴scale驴 of the space. One possible source of information for absolute depth estimation is the image size of known objects. However, object recognition, under unconstrained conditions, remains difficult and unreliable for current computational approaches. Here, we propose a source of information for absolute depth estimation based on the whole scene structure that does not rely on specific objects. We demonstrate that, by recognizing the properties of the structures present in the image, we can infer the scale of the scene and, therefore, its absolute mean depth. We illustrate the interest in computing the mean depth of the scene with application to scene recognition and object detection.