The search functionality is under construction.

IEICE TRANSACTIONS on Information

Temporal Constraints and Block Weighting Judgement Based High Frame Rate and Ultra-Low Delay Mismatch Removal System

Songlin DU, Zhe WANG, Takeshi IKENAGA

  • Full Text Views

    0

  • Cite this

Summary :

High frame rate and ultra-low delay matching system plays an increasingly important role in human-machine interactions, because it guarantees high-quality experiences for users. Existing image matching algorithms always generate mismatches which heavily weaken the performance the human-machine-interactive systems. Although many mismatch removal algorithms have been proposed, few of them achieve real-time speed with high frame rate and low delay, because of complicated arithmetic operations and iterations. This paper proposes a temporal constraints and block weighting judgement based high frame rate and ultra-low delay mismatch removal system. The proposed method is based on two temporal constraints (proposal #1 and proposal #2) to firstly find some true matches, and uses these true matches to generate block weighting (proposal #3). Proposal #1 finds out some correct matches through checking a triangle route formed by three adjacent frames. Proposal #2 further reduces mismatch risk by adding one more time of matching with opposite matching direction. Finally, proposal #3 distinguishes the unverified matches to be correct or incorrect through weighting of each block. Software experiments show that the proposed mismatch removal system achieves state-of-the-art accuracy in mismatch removal. Hardware experiments indicate that the designed image processing core successfully achieves real-time processing of 784fps VGA (640×480 pixels/frame) video on field programmable gate array (FPGA), with a delay of 0.858 ms/frame.

Publication
IEICE TRANSACTIONS on Information Vol.E103-D No.6 pp.1236-1246
Publication Date
2020/06/01
Publicized
2020/03/18
Online ISSN
1745-1361
DOI
10.1587/transinf.2019MVP0014
Type of Manuscript
Special Section PAPER (Special Section on Machine Vision and its Applications)
Category

Authors

Songlin DU
  Southeast University,Ministry of Education
Zhe WANG
  Waseda University
Takeshi IKENAGA
  Waseda University

Keyword