Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded ta...Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded target is put forward and the non-coded and coded targets are classified. Moreover, the gray scale centroid algorithm is applied to obtain the subpixel location of both uncoded and coded targets. The initial matching of the uncoded target correspondences between an image pair is established according to similarity and compatibility, which are based on the ID correspondences of the coded targets. The outliers in the initial matching of the uncoded target are eliminated according to three rules to finally obtain the uncoded target correspondences. Practical examples show that the algorithm is rapid, robust and is of high precision and matching ratio.展开更多
An efficient design method for a 24 × 24 bit ＋48 bit parallel saturating multiply-accumulate （MAC） unit is described. The augend in the MAC is merged as a partial product into Wallace tree array. The optimized...An efficient design method for a 24 × 24 bit ＋48 bit parallel saturating multiply-accumulate （MAC） unit is described. The augend in the MAC is merged as a partial product into Wallace tree array. The optimized saturation detection logic is proposed. The 679. 2 μm × 132. 5μm area size has been achieved in 0. 18 μm 1.8 V 1P6M CMOS technology by the full-custom circuit layout design. The simulation results show that the design way has significantly less area （about 23.52% reduction） and less delay than those of the common saturating MAC based on standard cell library.展开更多
基金The National Natural Science Foundation of China(No50475041)
文摘Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded target is put forward and the non-coded and coded targets are classified. Moreover, the gray scale centroid algorithm is applied to obtain the subpixel location of both uncoded and coded targets. The initial matching of the uncoded target correspondences between an image pair is established according to similarity and compatibility, which are based on the ID correspondences of the coded targets. The outliers in the initial matching of the uncoded target are eliminated according to three rules to finally obtain the uncoded target correspondences. Practical examples show that the algorithm is rapid, robust and is of high precision and matching ratio.
基金The National Natural Science Foundation of China(No.90407009),the National High Technology Research and Develop-ment Program of China(863Program) (No.2003AA1Z1340)
文摘An efficient design method for a 24 × 24 bit ＋48 bit parallel saturating multiply-accumulate （MAC） unit is described. The augend in the MAC is merged as a partial product into Wallace tree array. The optimized saturation detection logic is proposed. The 679. 2 μm × 132. 5μm area size has been achieved in 0. 18 μm 1.8 V 1P6M CMOS technology by the full-custom circuit layout design. The simulation results show that the design way has significantly less area （about 23.52% reduction） and less delay than those of the common saturating MAC based on standard cell library.
