我正在尝试使用OpenCV Bundle Adjustment: LevMarqSparse::bundleAdjust,不幸的是输出结果似乎完全错误:
Iteration: 0, normError: 4.30244e+46 (3.64614e+44)
decreasing lambda to 0.024556
Iteration: 1, normError: 2.72985e+31 (2.31343e+29)
decreasing lambda to 0.0024556
Iteration: 2, normError: 8.00302e+25 (6.78222e+23)
move failed: lambda = 0.024556, e2 = 2.62043e+40 (2.2207e+38) > 8.00302e+25(6.78222e+23)
move failed: lambda = 0.24556, e2 = 7.31034e+40 (6.1952e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556, e2 = 1.59706e+40 (1.35344e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 24.556, e2 = 1.33882e+40 (1.13459e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 245.56, e2 = 1.31518e+40 (1.11456e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2455.6, e2 = 1.31283e+40 (1.11257e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 24556, e2 = 1.3126e+40 (1.11237e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 245560, e2 = 1.31257e+40 (1.11235e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+06, e2 = 1.31257e+40 (1.11235e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+07, e2 = 1.31257e+40 (1.11235e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+08, e2 = 1.31257e+40 (1.11235e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+09, e2 = 1.31257e+40 (1.11235e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+10, e2 = 1.3125e+40 (1.11229e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+11, e2 = 1.31102e+40 (1.11103e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+12, e2 = 1.3103e+40 (1.11042e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+13, e2 = 1.31471e+40 (1.11416e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+14, e2 = 1.29156e+40 (1.09454e+38) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+15, e2 = 1.15709e+40 (9.80585e+37) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+16, e2 = 3.81423e+39 (3.2324e+37) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+17, e2 = 6.59182e+36 (5.58629e+34) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+18, e2 = 8.07694e+34 (6.84487e+32) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+19, e2 = 7.73149e+52 (6.55211e+50) > 8.00302e+25 (6.78222e+23)
move failed: lambda = 2.4556e+20, e2 = 2.061e+40 (1.74661e+38) > 8.00302e+25 (6.78222e+23)
decreasing lambda to 2.4556e+19
如果我手动重新投影我的关键点的第一个猜测,我得到了每个关键点和其三角化点的重投影之间的像素欧几里德距离(误差)的总和为169.541。 在调用LevMarqSparse::bundleAdjust后进行相同的错误检查,得到的误差为5.50025e+12。
请问有人能指点我正确的方向吗?谢谢。