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[Keyword] scale-invariant feature transform(3hit)

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  • A Novel Large-Angle ISAR Imaging Algorithm Based on Dynamic Scattering Model

    Ping LI  Feng ZHOU  Bo ZHAO  Maliang LIU  Huaxi GU  

     
    PAPER-Electromagnetic Theory

      Pubricized:
    2020/04/17
      Vol:
    E103-C No:10
      Page(s):
    524-532

    This paper presents a large-angle imaging algorithm based on a dynamic scattering model for inverse synthetic aperture radar (ISAR). In this way, more information can be presented in an ISAR image than an ordinary RD image. The proposed model describes the scattering characteristics of ISAR target varying with different observation angles. Based on this model, feature points in each sub-image of the ISAR targets are extracted and matched using the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) algorithms. Using these feature points, high-precision rotation angles are obtained via joint estimation, which makes it possible to achieve a large angle imaging using the back-projection algorithm. Simulation results verifies the validity of the proposed method.

  • Video Frame Interpolation by Image Morphing Including Fully Automatic Correspondence Setting

    Miki HASEYAMA  Makoto TAKIZAWA  Takashi YAMAMOTO  

     
    LETTER-Image Processing and Video Processing

      Vol:
    E92-D No:10
      Page(s):
    2163-2166

    In this paper, a new video frame interpolation method based on image morphing for frame rate up-conversion is proposed. In this method, image features are extracted by Scale-Invariant Feature Transform in each frame, and their correspondence in two contiguous frames is then computed separately in foreground and background regions. By using the above two functions, the proposed method accurately generates interpolation frames and thus achieves frame rate up-conversion.

  • Robust Object-Based Watermarking Using Feature Matching

    Viet-Quoc PHAM  Takashi MIYAKI  Toshihiko YAMASAKI  Kiyoharu AIZAWA  

     
    PAPER-Application Information Security

      Vol:
    E91-D No:7
      Page(s):
    2027-2034

    We present a robust object-based watermarking algorithm using the scale-invariant feature transform (SIFT) in conjunction with a data embedding method based on Discrete Cosine Transform (DCT). The message is embedded in the DCT domain of randomly generated blocks in the selected object region. To recognize the object region after being distorted, its SIFT features are registered in advance. In the detection scheme, we extract SIFT features from the distorted image and match them with the registered ones. Then we recover the distorted object region based on the transformation parameters obtained from the matching result using SIFT, and the watermarked message can be detected. Experimental results demonstrated that our proposed algorithm is very robust to distortions such as JPEG compression, scaling, rotation, shearing, aspect ratio change, and image filtering.