The TOMBO (Thin Observation Module by Bound Optics) is a compound imaging system inspired by biological visual systems. The image of an object captured by the TOMBO system is composed of multiple images observed from multiple view-points. Owing to disparities between the individual images, the object distance can be measured. In this paper, we propose a novel method for 3D information acquisition using the TOMBO system. The conventional image reconstruction method on the TOMBO system assumes that a planar object is located at a specific distance. Therefore, if the actual and the assumed object distances are different, the correct reconstructed image is not obtained. To reconstruct the correct image of 3D objects, we execute the image reconstruction process with several candidates of the object distance. The distance where high frequency components are successfully reconstructed is determined as the object distance. Using the distances of all objects, we can generate a composite image focusing on the objects. Moreover, object extraction is demonstrated by using the measured object distances and the composite image. We reduce the processing time by adaptation of the processing for a GPU (Graphics Processing Unit). Experimental results indicate effectiveness of the proposed method.© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.