This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head from an input video using a cylindrical head model. Given an initial reference template of the head image and the corresponding head pose, the head model is created and full head motion is recovered automatically. The robustness of the approach is achieved by a combination of three techniques. First, we use the iteratively re-weighted least squares (IRLS) technique in conjunction with the image gradient to accommodate non-rigid motion and occlusion. Second, while tracking, the templates are dynamically updated to diminish the effects of self-occlusion and gradual lighting changes and to maintain accurate tracking even when the face moves out of view of the camera. Third, to minimize error accumulation inherent in the use of dynamic templates, we re-register images to a reference template whenever head pose is close to that in the template. The performance of the method, which runs in real time, was evaluated in three separate experiments using image sequences (both synthetic and real) for which ground truth head motion was known. The real sequences included pitch and yaw as large as 40° and 75°, respectively. The average recovery accuracy of the 3D rotations was about 3°. In a further test, the method was used as part of a facial expression analysis system intended for use with spontaneous facial behavior in which moderate head motion is common. Image data consisted of 1-minute of video from each of 10 subjects while engaged in a 2-person interview. The method successfully stabilized face and eye images allowing for 98% accuracy in automatic blink recognition.

Abstract-We propose a system that is capable of detailed analysis of eye region images in terms of the position of the iris, degree of eyelid opening, and the shape, complexity, and texture of the eyelids. The system uses a generative eye region model that parameterizes the fine structure and motion of an eye. The structure parameters represent structural individuality of the eye, including the size and color of the iris, the width, boldness, and complexity of the eyelids, the width of the bulge below the eye, and the width of the illumination reflection on the bulge. The motion parameters represent movement of the eye, including the up-down position of the upper and lower eyelids and the 2D position of the iris. The system first registers the eye model to the input in a particular frame and individualizes it by adjusting the structure parameters. The system then tracks motion of the eye by estimating the motion parameters across the entire image sequence. Combined with image stabilization to compensate for appearance changes due to head motion, the system achieves accurate registration and motion recovery of eyes. Back to Top

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Previous research in automatic facial expression recognition has been limited to recognition of gross expression categories (e.g., joy or anger) in posed facial behavior under well-controlled conditions (e.g., frontal pose and minimal out-ofplane head motion). We have developed a system that detects a discrete and important facial action (e.g., eye blinking) in spontaneously occurring facial behavior that has been measured with non-frontal pose, moderate out-of-plane head motion, and occlusion. The system recovers 3D motion parameters, stabilizes facial regions, extracts motion and appearance information, and recognizes discrete facial actions in spontaneous facial behavior. We tested the system in video data from a 2-person interview. The 10 subjects were ethnically diverse, action units occurred during speech, and out-of-plane motion and occlusion from head motion and glasses were common. The video data were originally collected to answer substantive questions in psychology, and represent a substantial challenge to automated AU recognition. In analysis of blinks, the system achieved 98% accuracy.

A new factor-independent megakaryoblastic cell line, designated SET-2, was established from the peripheral blood of a patient with leukemic transformation of essential thrombocythemia (ET). SET-2 expressed CD 4, 7, 13, 33, 34, 36, 38, 41, 61, 71, 117, 126, 130 and c-mpl. In addition, it spontaneously produced numerous platelet-like particles in liquid culture. These particles were shown to be the same size as normal platelets, and to express CD 36, 38, 41, 61 and 71. Proliferation of SET-2 was not influenced by thrombopoietin (TPO) and other hemopoietic cytokines. SET-2 was found to express the platelet-specific proteins such as platelet factor 4 and ␤-thromboglobulin. The levels of expression were not altered by TPO. SET-2 also secreted interleukin-6 into the supernatants, as well as normal megakaryocytes. These results suggest that SET-2 spontaneously matures to megakaryocytes and produces platelet-like particles. These findings indicate that SET-2 may be useful for investigating the proliferation and differentiation mechanisms of leukemia cells and the role of c-mpl on megakaryoblasts, megakaryocytes, and platelets in ET. Leukemia (2000) 14, 142-152.

C-Glycosides are metabolically stable mimics of natural O-glycosides and are expected to be useful tools for investigation of the biological functions of glycans. Here, we describe the synthesis of a series of aryl and vinyl C-glycosides by stereoinvertive sp3–sp2 cross-coupling reactions of 2-deoxyglycosyl boronic acid derivatives with aryl or vinyl halide, mediated by a photoredox/nickel dual catalytic system. Hydrogenation of the vinyl C-glycosides afforded C-linked 2′-deoxydisaccharide analogues.

AA infusion significantly increased body core temperature and oxygen consumption during surgery. Given the release of insulin and leptin in response to AA infusion, it is likely that these hormonal signaling pathways may, in part, have contributed to the thermogenic response that occurred during the surgery.

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