FKM-EVA: An Image Matching Evaluation based on Data Association Types in vSLAM

Under Review

  • code

    ORB-SLAM2-SP

  • code

    A-ORB-SLAM2

  • code

    Dataset

  • 2

    code

    Sequences running at different speeds in the same scene

    Camera intrinsic

  • fx: 1212.12
  • fy: 1212.12
  • cx: 960
  • cy: 540
  • Get the depth map

    depth = cv2.imread(frame1.p_depth, cv2.CV_16UC1)
    points_3d = [(u - cx) / fx * float(depth[v, u]) / 100, 
                 (v - cy) / fy * float(depth[v, u]) / 100,
                 float(depth[v, u]) / 100]

    Get the ground true

    t = [gt[3]/100, gt[7]/100, gt[11]/100]
                    
    R = [[-gt[4], -gt[8], gt[0]],
         [-gt[5], -gt[9], gt[1]],
         [-gt[6], -gt[10], gt[2]]
                    

    Evaluation criteria

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