2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-8.5
Paper Title E-ACJ: ACCURATE JUNCTION EXTRACTION FOR EVENT CAMERAS
Authors Zhihao Liu, Yuqian Fu, Wuhan University, China
SessionARS-8: Image and Video Mid-Level Analysis
LocationArea I
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Mid-Level Analysis
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Junctions reflect the important geometrical structure information of images, and are of primary significance to applications such as image matching and motion analysis. Previous event-based feature extraction methods are mainly fo-cused on corners, which only find the locations, however, ignoring the geometrical structure information like orientationsand scales of edges. This paper adapts the frame-based a-contrario junction detector(ACJ) to event cameras, proposing the event-based a-contrario junction detector(e-ACJ) which yields junctions’ locations while giving the scales and orientations of their branches. The proposed method relies on an a-contrario model and can operate on asynchronous events directly without generating synthesized event frames. We evaluate our method on public event datasets. The result shows our method successfully finds the orientations and scales of branches, while maintaining high accuracy in junctions’ locations.