Vision-based single-stroke character recognition for wearable computing

Wearable computing offers advantages but making data entry easy remains a challenge. A new approach for data entry using a head-mounted digital camera to record characters drawn by hand gestures or by a pointer is introduced. In addition, each character is drawn as a single, isolated stroke using a Graffiti-like alphabet. As such, the resulting character recognition system has potential for application in mobile communication and computing devices

COMPARISON OF PHOTOCONSISTENCY MEASURES USED IN VOXEL COLORING

threshold, histogram, color caching. A framework for the comparison of photoconsistency measures used in voxel coloring algorithm is described. With this framework, the results obtained in generalized voxel coloring algorithm using certain photoconsistency measures are discussed qualitatively and quantitatively. The photoconsistency measures are based on standard deviation, Minkowsky distance, adaptive threshold, histogram, and color caching. Quantitative measurement is performed with root-mean-square-error and normalized-cross-correlation-ratio. The results show that, the photoconsistency measures which require threshold(s) may produce better/worse results depending on the selected threshold(s). Also, modeling textured objects always produce better reconstruction results.