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» Harmony Potentials - Fusing Global and Local Scale for Seman...
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ICML
2009
IEEE
14 years 5 months ago
Multi-class image segmentation using conditional random fields and global classification
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
Nils Plath, Marc Toussaint, Shinichi Nakajima
ECCV
2008
Springer
14 years 6 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
RAS
2008
123views more  RAS 2008»
13 years 4 months ago
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
Martin Persson, Tom Duckett, Achim J. Lilienthal
DAGM
2005
Springer
13 years 10 months ago
Network Snakes-Supported Extraction of Field Boundaries from Imagery
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...
Matthias Butenuth, Christian Heipke
ECCV
2010
Springer
13 years 9 months ago
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...