3results about How to "Reduce ghosting" patented technology

The application discloses a height measuring system and a photoetching machine device thereof, and relates to the field of photoetching machine wafer height and surface type detection. The height measuring system comprises a grating piece, an imaging assembly, a filtering assembly and a sensing piece. The grating piece is used for passing a to-be-detected light source. The to-be-detected light source forms diffraction beams with different diffraction orders which are distributed in sequence through the grating piece. The imaging assembly is arranged on one side of the grating piece where the diffraction beams are formed. The filtering assembly is arranged on one side of the imaging assembly close to the grating piece or in the light path in the imaging assembly. The sensing piece is used for receiving the diffraction beams filtered by the filtering assembly. The application diffracts the light beams through the grating piece, and realizes imaging through cooperation of the imaging assembly and the sensing piece. The filtering assembly filters the diffraction light of a certain order in the diffraction beams, thereby reducing the defocus and ghosting phenomenon, and improving the measurement precision.

This invention relates to a method and system for constructing a dynamic 3D Gaussian map based on semantic enhancement, belonging to the field of computer vision and robot simultaneous localization and mapping technology. The method utilizes a keyframe scheduler to filter keyframes, performs semantic detection on the keyframes based on a semantic segmentation network to generate an initial semantic mask, and performs geometric verification and correction on the mask using depth reprojection residuals. The corrected mask is propagated to adjacent ordinary frames using camera pose-based reprojection, and temporal voting fusion is performed to obtain a temporally consistent semantic mask sequence. A 3D Gaussian sphere map is initialized and updated in static regions, and semantically guided adaptive density control is performed in dynamic regions to suppress dynamic artifacts. Lightweight map management is then performed based on information entropy scoring. Finally, under photometric error and geometric constraints, joint nonlinear optimization of camera pose and Gaussian sphere parameters is performed and iteratively updated in a closed loop.