Structured image segmentation using kernelized features
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
SEEDS: superpixels extracted via energy-driven sampling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Partition cortical surfaces into supervertices: method and application
MeshMed'12 Proceedings of the 2012 international conference on Mesh Processing in Medical Image Analysis
Label transfer exploiting three-dimensional structure for semantic segmentation
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
Online learning for fast segmentation of moving objects
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Class-Specified segmentation with multi-scale superpixels
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Depth synthesis and local warps for plausible image-based navigation
ACM Transactions on Graphics (TOG)
3D from looking: using wearable gaze tracking for hands-free and feedback-free object modelling
Proceedings of the 2013 International Symposium on Wearable Computers
Robust text and drawing segmentation algorithm for historical documents
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Emerging images synthesis from photographs
ACM SIGGRAPH 2013 Posters
Hand segmentation for gesture recognition in EGO-vision
Proceedings of the 3rd ACM international workshop on Interactive multimedia on mobile & portable devices
Estimating beauty ratings of videos using supervoxels
Proceedings of the 21st ACM international conference on Multimedia
Content-adaptive image downscaling
ACM Transactions on Graphics (TOG)
On-the-fly multi-scale infinite texturing from example
ACM Transactions on Graphics (TOG)
SimLocator: robust locator of similar objects in images
The Visual Computer: International Journal of Computer Graphics
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Image annotation by modeling Supporting Region Graph
Applied Intelligence
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Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries, speed, memory efficiency, and their impact on segmentation performance. We then introduce a new superpixel algorithm, simple linear iterative clustering (SLIC), which adapts a k-means clustering approach to efficiently generate superpixels. Despite its simplicity, SLIC adheres to boundaries as well as or better than previous methods. At the same time, it is faster and more memory efficient, improves segmentation performance, and is straightforward to extend to supervoxel generation.