Abstract
This paper proposes a depth estimation method using a camera array that consists of an infrared projector and a pair of infrared color cameras. The projector projects an infrared dot pattern, and the infrared color cameras simultaneously capture infrared images with the pattern and color images without the pattern. A depth map is estimated after a cost volume filtering by using Cross-based Local Multipoint Filter (CLMF) is processed to the cost volume calculated from a pair of the infrared images. The color images are used as guide images in the cost volume filtering. The graphcut is also introduced for each scan-line in deciding disparities, so that the accuracy of depth estimation from wide-baseline stereo images improves. We estimated the depth map from images captured in the actual world and the efficiency of the proposed method is demonstrated.
