Supervised geodesic propagation for semantic label transfer
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Detecting changes in images of street scenes
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Data-driven interactive 3D medical image segmentation based on structured patch model
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
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In this paper we propose a novel nonparametric image parsing method for the image parsing problem in certain environment. A novel and efficient nearest neighbor matching scheme, the ANN bilateral matching scheme, is proposed. Based on the proposed matching scheme, we first retrieve some partially similar images for each given test image from the training image database. The test image can be well explained by these retrieved images, with similar regions existing in the retrieved images for each region in the test image. Then, we match the test image to the retrieved training images with the ANN bilateral matching scheme, and parse the test image by integrating multiple cues in a markov random field. Experiment on three datasets shows our method achieved promising parsing accuracy and outperformed two state-of-the-art nonparametric image parsing methods.