Object-Level Priors for Stixel Generation

  title={Object-Level Priors for Stixel Generation},
  author={Marius Cordts and L. Schneider and M. Enzweiler and Uwe Franke and S. Roth},
  • Marius Cordts, L. Schneider, +2 authors S. Roth
  • Published in GCPR 2014
  • Computer Science
  • This paper presents a stereo vision-based scene model for traffic scenarios. [...] Key Method We present a principled way to additionally integrate top-down prior information about object location and shape that arises from independent system modules, ranging from geometric cues up to highly confident object detections. This results in an efficient exploration of orthogonal image-based cues, such as disparity and gray-level intensity data, combined in a consistent scene representation. The overall segmentation…Expand Abstract
    18 Citations
    Semantic Stixels: Depth is not enough
    • 65
    • PDF
    Slanted Stixels: A Way to Represent Steep Streets
    • PDF
    Slanted Stixels: Representing San Francisco's Steepest Streets
    • 42
    • PDF
    Stixel optimization: Representing challenging on-road scenes
    • 3
    Low-level fusion of color, texture and depth for robust road scene understanding
    • 26
    Use of a Confidence Map Towards Improved Multi-layer Stixel Segmentation
    • N. Saleem, R. Klette, F. Huang
    • Computer Science
    • 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
    • 2018
    • 1
    Monocular Stixels: A LIDAR-guided Approach
    Fast robust monocular depth estimation for Obstacle Detection with fully convolutional networks
    • 59
    • PDF
    The Stixel World: A medium-level representation of traffic scenes
    • 34
    • PDF
    Instance Stixels: Segmenting and Grouping Stixels into Objects


    Efficient Multi-cue Scene Segmentation
    • 62
    • PDF
    Towards a Global Optimal Multi-Layer Stixel Representation of Dense 3D Data
    • 93
    • PDF
    From stixels to objects — A conditional random field based approach
    • 17
    • PDF
    Efficient Stixel-based object recognition
    • 49
    • PDF
    Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction
    • 149
    • PDF
    The Stixel World - A Compact Medium Level Representation of the 3D-World
    • 184
    • PDF
    Active Matching
    • 1,176
    • PDF
    What, Where and How Many? Combining Object Detectors and CRFs
    • 343
    • PDF
    Indoor Segmentation and Support Inference from RGBD Images
    • 2,663
    • PDF
    Semantic segmentation using regions and parts
    • 284
    • PDF