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Structures were fully optimized at the DFT level, subject to reaction coordinate constraints.
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Therefore, the object status could not be obtained by investigating the pixel coordinate constraint.
Additionally, every node of the VN request has a geographic coordinate constraint.
The pixel coordinate constraint equation for these corresponding image features can be expressed as h d C T Eh ′ d C = 0 (24).
Usually, the pixel coordinate constraint in Equation (24) is utilized to estimate the state vector and according essential matrix.
There are two situations that the pixel coordinate constraint in Equation (24) will result in trivial solutions.
Y. Chen et al. [34] present a local coordinate factorization (NLCF) method by adding a local coordinate constraint into the standard NMF objective function.
Given a set of corresponding image points, it is possible to estimate the state vector and the essential matrix which optimally satisfy the pixel coordinate constraint.
We could further utilize the estimated state vector and the essential matrix to investigate whether a set of corresponding image points satisfy the pixel coordinate constraint in Equation (24).
In the flowchart of Figure 4, the function block of MOD is designed based on the concept of the pixel coordinate constraint of a static object in image plane.
The corresponding feature ( I x ′, I y ′ ) in the second image is limited within the pixel coordinate constraint h d C T Eh ′ d C < 1 0 - 3. We can see that the range of the corresponding I y ′ is unlimited when (I x, I y ) is close to (160,120), as shown in Figure 8.
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