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. 2019 Feb 21;52(4):328–333. doi: 10.5946/ce.2018.172

Table 2.

Computer Vision Technologies for Depth Sensing and Capsule Endoscope Localization

Study suggested algorithm Purpose outcome
Karargyris et al. [14] Shape-from-shading Depth sensing Create three dimensional-surfaced CE videos
Fan et al. [15] SIFT, epipolar geometry Depth sensing Three-dimensional reconstruction of the GI tract’s inner surfaces from CE images
Park et al. [16] Stereo-type capsule endoscope, direct attenuation model Depth sensing Create three-dimensional depth map, size estimation for lesions observed in stereo-type CE images
Turan et al. [24] Vision-based SLAM, Shape-from-shading Capsule localization Improved RMSE for the three-dimensional reconstruction of stomach model and capsule trajectory length

CE, capsule endoscopy; GI, gastrointestinal; RMSE, root mean square error; SIFT, scale invariant feature transform; SLAM, simultaneous localization and mapping.