QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Unstructured lumigraph rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping
Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Evaluation of tone mapping operators using a High Dynamic Range display
ACM SIGGRAPH 2005 Papers
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Photographing long scenes with multi-viewpoint panoramas
ACM SIGGRAPH 2006 Papers
Poisson surface reconstruction
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
Clone attack! Perception of crowd variety
ACM SIGGRAPH 2008 papers
Perception-motivated interpolation of image sequences
Proceedings of the 5th symposium on Applied perception in graphics and visualization
A perceptual approach to trimming and tuning unstructured lumigraphs
ACM Transactions on Applied Perception (TAP)
Moving gradients: a path-based method for plausible image interpolation
ACM SIGGRAPH 2009 papers
Handling occluders in transitions from panoramic images: A perceptual study
ACM Transactions on Applied Perception (TAP)
On predicting visual popping in dynamic scenes
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
A ghosting artifact detector for interpolated image quality assessment
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
Street slide: browsing street level imagery
ACM SIGGRAPH 2010 papers
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic multiperspective images
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Videoscapes: exploring sparse, unstructured video collections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
EEG analysis of implicit human visual perception
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perception of perspective distortions in image-based rendering
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Depth synthesis and local warps for plausible image-based navigation
ACM Transactions on Graphics (TOG)
Preference and artifact analysis for video transitions of places
ACM Transactions on Applied Perception (TAP) - Special issue SAP 2013
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Image-based rendering (IBR) techniques allow users to create interactive 3D visualizations of scenes by taking a few snapshots. However, despite substantial progress in the field, the main barrier to better quality and more efficient IBR visualizations are several types of common, visually objectionable artifacts. These occur when scene geometry is approximate or viewpoints differ from the original shots, leading to parallax distortions, blurring, ghosting and popping errors that detract from the appearance of the scene. We argue that a better understanding of the causes and perceptual impact of these artifacts is the key to improving IBR methods. In this study we present a series of psychophysical experiments in which we systematically map out the perception of artifacts in IBR visualizations of façades as a function of the most common causes. We separate artifacts into different classes and measure how they impact visual appearance as a function of the number of images available, the geometry of the scene and the viewpoint. The results reveal a number of counter-intuitive effects in the perception of artifacts. We summarize our results in terms of practical guidelines for improving existing and future IBR techniques.