Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Motion Estimation in Model-Based Facial Image Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Facial Analysis for Virtual Teleconferencing
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
3-D Facial Pose and Gaze Point Estimation Using a Robust Real-Time Tracking Paradigm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
3D Head Pose Estimation without Feature Tracking
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
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We present a novel approach to offer at a reasonable cost panned landscape video sequence images well matched with photorealistic computer generated still images of large scale construction projects, such as bridges and electric power transmission towers. Our newly developed compositing algorithms can be used with the equipment which consists of a regular camcorder sold on the market, a video editing system, and our own software for rendering day-time scenes under various weather conditions. Other types of equipment such as an elaborate camera controller, or special reference points in the landscapes, are unnecessary. The proposed algorithms provide the following features: (1) the computer generated still images are well harmonized with panned video sequence images at any time of day under various weather conditions, in terms of both optical and geometrical accuracy; (2) a precise panorama composited from video sequence images is created, in which varying exposure levels due to changing camera view fields can be coped with and any geometrical distortion is eliminated.