Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise

Partial pose estimation of 3D rigid object system using outer box method

“…Previous study presented various techniques on CAD image database development [5] using .stl data, image data acquisition for surface inspection [6], pre-processing techniques on image registration [7][8][9][10][11][12][13][14][15][16][17][18], features extraction such as Vote-based 3D shape recognition and registration [19], edges extraction [20], reflection symmetric [21], DoG-based detector presented by deriving scale-invariant mesh features for image registration [22], Local Procustes Regression (LPR) [23], Estimation-by-Completion (EbC) [24] and Customized three-dimensional template matching [25][26][27] In this paper, the study focus on object description, scaling and image registration method. The contribution of this paper two fold.…”