Abstract: Embodiments of the present application disclose a three-dimensional model generating method and apparatus, and an electronic device. The three-dimensional model generating method includes: performing feature extraction on an aerial three-dimensional model and a ground three-dimensional model of a to-be-modeled object respectively to obtain at least three sets of feature vectors; performing registration on the aerial three-dimensional model and the ground three-dimensional model based on the feature vectors, and determining a first transition area of a fused three-dimensional model; reconstructing a triangular patch of the first transition area to obtain a second transition area; and performing texture filling on the second transition area, and determining a target three-dimensional model of the to-be-modeled object.

Abstract: This invention discloses a UAV inspection method for power line based on human visual system. Image preprocessing module preprocesses the power line image of the input system. Power line detection module uses human visual attention mechanism to complete segmentation of the power line in the image. Binocular image registration module uses SURF algorithm to provide exact match of the feature points. The obstacle detection and early warning module uses binocular visual principle to calculate the three-dimensional coordinates of the matching point and the power line. The result output and feedback module calculates the vertical distance from the matching point to the power line according to the information about the space coordinates to complete feedback of the information about the obstacle with a threat to the power line. The method can accurately analyze the obstacle of power line in a quantitative manner, and the analysis result is stable and objective.

Abstract: This invention discloses a UAV inspection method for power line based on human visual system. Image preprocessing module preprocesses the power line image of the input system. Power line detection module uses human visual attention mechanism to complete segmentation of the power line in the image. Binocular image registration module uses SURF algorithm to provide exact match of the feature points. The obstacle detection and early warning module uses binocular visual principle to calculate the three-dimensional coordinates of the matching point and the power line. The result output and feedback module calculates the vertical distance from the matching point to the power line according to the information about the space coordinates to complete feedback of the information about the obstacle with a threat to the power line. The method can accurately analyze the obstacle of power line in a quantitative manner, and the analysis result is stable and objective.