Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Inference of Surfaces, 3D Curves, and Junctions from Sparse, Noisy, 3D Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration and Integration of Multiple Object Views for 3D Model Construction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the sixth ACM symposium on Solid modeling and applications
Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments
ACM Transactions on Graphics (TOG)
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Attention guided MPEG compression for computer animations
SCCG '03 Proceedings of the 19th spring conference on Computer graphics
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Adaptively Merging Large-Scale Range Data with Reflectance Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Predicting and Evaluating Saliency for Simplified Polygonal Models
ACM Transactions on Applied Perception (TAP)
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
Point-based multiscale surface representation
ACM Transactions on Graphics (TOG)
ACM SIGGRAPH 2006 Papers
2006 Special Issue: Modeling attention to salient proto-objects
Neural Networks
Distinctive regions of 3D surfaces
ACM Transactions on Graphics (TOG)
Surface modeling using multi-view range and color images
Integrated Computer-Aided Engineering
Global non-rigid alignment of 3-D scans
ACM SIGGRAPH 2007 papers
Accurate integration of multi-view range images using k-means clustering
Pattern Recognition
A tutorial on spectral clustering
Statistics and Computing
A unified information-theoretic framework for viewpoint selection and mesh saliency
ACM Transactions on Applied Perception (TAP)
A clustering approach to free form surface reconstruction from multi-view range images
Image and Vision Computing
A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Mesh saliency and human eye fixations
ACM Transactions on Applied Perception (TAP)
Markov Random Field Surface Reconstruction
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2010 Courses
Segmenting salient objects from images and videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Variational mesh decomposition
ACM Transactions on Graphics (TOG)
Schelling points on 3D surface meshes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Surface regions of interest for viewpoint selection
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
3D point of interest detection via spectral irregularity diffusion
The Visual Computer: International Journal of Computer Graphics
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We propose a novel method for detecting mesh saliency, a perceptually-based measure of the importance of a local region on a 3D surface mesh. Our method incorporates global considerations by making use of spectral attributes of the mesh, unlike most existing methods which are typically based on local geometric cues. We first consider the properties of the log-Laplacian spectrum of the mesh. Those frequencies which show differences from expected behaviour capture saliency in the frequency domain. Information about these frequencies is considered in the spatial domain at multiple spatial scales to localise the salient features and give the final salient areas. The effectiveness and robustness of our approach are demonstrated by comparisons to previous approaches on a range of test models. The benefits of the proposed method are further evaluated in applications such as mesh simplification, mesh segmentation, and scan integration, where we show how incorporating mesh saliency can provide improved results.