On the relative complexity of active vs. passive visual search
International Journal of Computer Vision
Machine Learning
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measuring and predicting visual fidelity
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Telling humans and computers apart automatically
Communications of the ACM - Information cities
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Fast hierarchical importance sampling with blue noise properties
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2005 Papers
Feature Hierarchies for Object Classification
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Shape from Texture without Boundaries
International Journal of Computer Vision
Interactive decal compositing with discrete exponential maps
ACM SIGGRAPH 2006 Papers
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D collage: expressive non-realistic modeling
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Asirra: a CAPTCHA that exploits interest-aligned manual image categorization
Proceedings of the 14th ACM conference on Computer and communications security
Model of Frequency Analysis in the Visual Cortex and the Shape from Texture Problem
International Journal of Computer Vision
Realization of Seurat’s pointillism via non-photorealistic rendering
The Visual Computer: International Journal of Computer Graphics
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Machine learning attacks against the Asirra CAPTCHA
Proceedings of the 15th ACM conference on Computer and communications security
A low-cost attack on a Microsoft captcha
Proceedings of the 15th ACM conference on Computer and communications security
Recognizing objects in adversarial clutter: breaking a visual captcha
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Sketcha: a captcha based on line drawings of 3D models
Proceedings of the 19th international conference on World wide web
ACM SIGGRAPH 2010 papers
Arcimboldo-like collage using internet images
Proceedings of the 2011 SIGGRAPH Asia Conference
Conjoining Gestalt rules for abstraction of architectural drawings
Proceedings of the 2011 SIGGRAPH Asia Conference
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering
Enhanced STE3D-CAP: a novel 3d CAPTCHA family
ISPEC'12 Proceedings of the 8th international conference on Information Security Practice and Experience
Security and usability challenges of moving-object CAPTCHAs: decoding codewords in motion
Security'12 Proceedings of the 21st USENIX conference on Security symposium
The magic lens: refractive steganography
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Digital Camouflage Images Using Two-scale Decomposition
Computer Graphics Forum
Abstract painting with interactive control of perceptual entropy
ACM Transactions on Applied Perception (TAP)
Emerging images synthesis from photographs
ACM SIGGRAPH 2013 Posters
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Emergence refers to the unique human ability to aggregate information from seemingly meaningless pieces, and to perceive a whole that is meaningful. This special skill of humans can constitute an effective scheme to tell humans and machines apart. This paper presents a synthesis technique to generate images of 3D objects that are detectable by humans, but difficult for an automatic algorithm to recognize. The technique allows generating an infinite number of images with emerging figures. Our algorithm is designed so that locally the synthesized images divulge little useful information or cues to assist any segmentation or recognition procedure. Therefore, as we demonstrate, computer vision algorithms are incapable of effectively processing such images. However, when a human observer is presented with an emergence image, synthesized using an object she is familiar with, the figure emerges when observed as a whole. We can control the difficulty level of perceiving the emergence effect through a limited set of parameters. A procedure that synthesizes emergence images can be an effective tool for exploring and understanding the factors affecting computer vision techniques.