Abstract: At least one exemplary embodiment is directed to an imaging processing method where a plurality of images are picked up while an imaging direction of a camera is being changed. The images are combined into a composite image. A target region is specified within the composite image. An imaging direction and an imaging magnification for imaging an object included in the target region in a predetermined size are calculated based on a position and a size of the target region in the composite image and an imaging parameter set for the camera when the plurality of images are picked up. Accordingly, the imaging direction and the imaging magnification for imaging the object to be imaged can be set easily.

Abstract: A peptide having any one of the amino acid sequences of SEQ ID NO: 1 or 13, preferably a peptide having any one of the amino acid sequences of SEQ ID NOS: 2 to 9 or a peptide having any one of the amino acid sequences of SEQ ID NOS: 10 and 15 to 17, is used as an active ingredient of an agent for promoting growth or differentiation of cells such as osteoblasts, chondroblasts, cementoblasts, bone marrow-derived mesenchymal stem cells and periodontal ligament-derived cells.

Abstract: An image including a face is input (S201), a plurality of local features are detected from the input image, a region of a face in the image is specified using the plurality of detected local features (S202), and an expression of the face is determined on the basis of differences between the detection results of the local features in the region of the face and detection results which are calculated in advance as references for respective local features in the region of the face (S204).

Abstract: A person area is detected from an inputted image, a category to which a person shown in the person area belongs is recognized, a correction area is extracted from the person area, and the correction area is corrected based on the recognized category. Thus, the inputted image is easily corrected in an appropriate manner according to the category of the person, that is, an object.

Abstract: A movement evaluation apparatus extracts feature points from a first reference object image and an ideal object image which are obtained by sensing an image including an object by an image sensing unit, and generates ideal action data on the basis of change amounts of the feature points between the first reference object image and the ideal object image. The apparatus extracts feature points from a second reference object image and an evaluation object image sensed by the image sensing unit, and generates measurement action data on the basis of change amounts of the feature points between the second reference object image and the evaluation object image. The movement evaluation apparatus evaluates the movement of the object in the evaluation object image on the basis of the ideal action data and the measurement action data.

Abstract: An information processing apparatus detects the facial expression and body action of a person image included in image information, and determines the physical/mental condition of the user on the basis of the detection results. Presentation of information by a presentation unit which visually and/or audibly presenting information is controlled by the determined physical/mental condition of the user.