Implementation of digital stereo imaging for analysis of metaphyses and joints in skeletal collections.

The surface structure of the growing portion of bones, called the metaphysis, contains clues about the locomotor characteristics of various species. Present methods of capturing this anthropologically interesting surface are time-consuming and subject to human error. The research implements a digital stereo imaging technique for bone metaphyses and joints in skeletal collections. The corresponding points in two images collected from different angles are determined using an area-based correlation matching method. The depths of matched points are computed from the difference in location of the points in the two images. The paper presents a practical implementation of computer vision for anthropology using an 80286-based personal computer, a camera and a video digitiser. The stereo matching algorithm, a practical implementation of classical stereo imaging methods, takes less than 1 min and produces reasonable representations of mammal bones. The accuracy of the depth measurements ranged from 0.7 to 12 per cent for 45-150 cm object-camera distances. False matches occurred in approximately 6 per cent of the total matched points.