Abstract: In a method, pose information of a cloth model is determined. A background grid is obtained based on uniformly dividing a two-dimensional plane that includes the cloth model. First motion information of each grid vertex indicating a motion state of each grid vertex at a first moment is acquired. An elastic energy function of the background grid indicating elasticity of the cloth model based on an elastic energy parameter is acquired. A target function indicating one or more constraints of the elastic energy function and the first motion information of each grid vertex is acquired. Second motion information of each grid vertex indicating a motion state of each grid vertex at a second moment later than the first moment is obtained based on the target function. First pose information of the cloth model is determined based on the second motion information of each grid vertex.

Abstract: The invention relates to precision measurement technology, specifically a high-sensitivity three-dimensional topography recovery method using dual-channel differentiation. Enhancing a traditional microscopic imaging system, a beam splitter is added between the objective lens and tube lens. This creates an additional light path equipped with a tube lens and camera identical to the original but with a slightly different distance to the camera. During axial scanning of the object, focusing evaluation function curves for each pixel are calculated from images captured by both cameras. The curves from the two cameras show more significant changes near the optimal focusing depth, improving system sensitivity. This method enhances sensitivity by hardware-fixed differentiation of the focusing evaluation function, while maintaining high scanning efficiency and flexible configuration.

Abstract: The invention relates to precision measurement technology, specifically a high-sensitivity three-dimensional topography recovery method using dual-channel differentiation. Enhancing a traditional microscopic imaging system, a beam splitter is added between the objective lens and tube lens. This creates an additional light path equipped with a tube lens and camera identical to the original but with a slightly different distance to the camera. During axial scanning of the object, focusing evaluation function curves for each pixel are calculated from images captured by both cameras. The curves from the two cameras show more significant changes near the optimal focusing depth, improving system sensitivity. This method enhances sensitivity by hardware-fixed differentiation of the focusing evaluation function, while maintaining high scanning efficiency and flexible configuration.