Howtosignalprocessing
- How does bundle adjustment work?
- What do you mean by bundle block adjustment?
- Is bundle adjustment convex?
- What is local bundle adjustment?
How does bundle adjustment work?
Bundle adjustment boils down to minimizing the reprojection error between the image locations of observed and predicted image points, which is expressed as the sum of squares of a large number of nonlinear, real-valued functions. Thus, the minimization is achieved using nonlinear least-squares algorithms.
What do you mean by bundle block adjustment?
A Bundle block Adjustment is a mathematical technique (triangulation) that determines the position and orientation of each image as they existed at the time of image capture, determine the ground coordinates measured on overlap areas of multiple image, and minimizes the error associated with the imagery, image ...
Is bundle adjustment convex?
In general, bundle adjustment is a highly non-linear, non-convex optimization problem with curse of dimensionality.
What is local bundle adjustment?
Local bundle adjustment (LBA) has recently been introduced to estimate the geometry of image sequences taken by a calibrated camera. Its advantage over standard (global) bundle adjustment is a great reduction of computational complexity, which allows real-time performances with a similar accuracy.
