The focal stack-based light field reconstruction method uses a camera to capture an image stack at various focal planes in image space, thereby reconstructing a full-resolution light field based on the transport-of-intensity property of the light field and transmission distance in object space. However, the nonlinear depth mapping between object and image spaces combines with image distortion introduce differences between the image acquisition in image space and light field reconstruction in object space, leading to decreased accuracy in reconstruction. This study first analyzes the consistency of focal stack-based light field reconstruction. A pre-calibrated light field camera is used to establish a metric mapping relationship between object and image spaces and the reference light field data. The multiview imaging and depth range of the reconstructed light field are then quantitatively analyzed. Subsequently, a consistent focal stack-based light field reconstruction method is proposed by establishing an accurate object-image space conversion relationship in the focal scanning space through camera calibration. The image stack in image space can be converted into object space, to uniformly eliminate image distortion for consistent light field reconstruction. Finally, depth measurement in the focal scanning space is achieved through the reconstructed light fields in object space.