Rendering volumetric data using STICKS representation scheme
VVS '90 Proceedings of the 1990 workshop on Volume visualization
Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Surfels: surface elements as rendering primitives
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Reconstructing complex surfaces from multiple stereo views
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Multi-level partition of unity implicits
ACM SIGGRAPH 2003 Papers
Segmenting Correlation Stereo Range Images using Surface Elements
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
6D-vision: fusion of stereo and motion for robust environment perception
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Mid-level segmentation and segment tracking for long-range stereo analysis
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Stixels motion estimation without optical flow computation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
An evaluation framework for stereo-based driver assistance
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Fast stixel computation for fast pedestrian detection
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
| Hi-index | 0.00 |
Ambitious driver assistance for complex urban scenarios demands a complete awareness of the situation, including all moving and stationary objects that limit the free space. Recent progress in real-time dense stereo vision provides precise depth information for nearly every pixel of an image. This rises new questions: How can one efficiently analyze half a million disparity values of next generation imagers? And how can one find all relevant obstacles in this huge amount of data in real-time? In this paper we build a medium-level representation named "stixel-world". It takes into account that the free space in front of vehicles is limited by objects with almost vertical surfaces. These surfaces are approximated by adjacent rectangular sticks of a certain width and height. The stixel-world turns out to be a compact but flexible representation of the three-dimensional traffic situation that can be used as the common basis for the scene understanding tasks of driver assistance and autonomous systems.