Abstract:
Es wird eine Kameravorrichtung (10) zur Erfassung eines relativ zu der Kameravorrichtung (10) bewegten Stroms von Objekten (14) mit mehreren Einzelkameras (18,..18 n ), die jeweils einen Bildsensor zur Aufnahme von Einzelbildern aufweisen, wobei die Einzelbilder einander teilweise überlappen, mit einer Auswertungseinheit (28) zum Zusammensetzen von Einzelbildern und mit einem Geometrieerfassungssensor (24) zur Erfassung von Geometriedaten der Objekte (14) angegeben. Dabei ist die Auswertungseinheit (28) dafür ausgebildet, ein aus Einzelbildern zusammengesetztes Objektbild eines einzelnen Objekts (14) des Stroms von Objekten (14) zu erzeugen, wobei die Auswahl der beteiligten Einzelbilder und/oder das Zusammensetzen auf Basis der Geometriedaten erfolgt.
Abstract:
A system for matching one or more participants of an event to a digital photograph they appear in. An image processing module analyzes a digital photograph of the event where one more participants appear and identifies one or more barcodes worn by the participants. Each barcode comprises a matrix with a unique value associated with a participant ID. A matrix analysis module reads the identified matrix, calculates its value and matches the participant with said digital photograph the participant appears in.
Abstract:
A system for matching one or more participants of an event to a digital photograph they appear in. An image processing module analyzes a digital photograph of the event where one more participants appear and identifies one or more barcodes worn by the participants. Each barcode comprises a matrix with a unique value associated with a participant ID. A matrix analysis module reads the identified matrix, calculates its value and matches the participant with said digital photograph the participant appears in.
Abstract:
An approaching object detection system, approaching object can be accurately detected while reducing the load on a calculation processing. A first moving region detection unit (30) detects (#3) only an optical flow substantially in horizontal direction in an image (P) captured by a camera (10) (#1) and sets (#4) a rectangular image portion (Q) containing a region moving in a substantially horizontal direction according to the detected optical flow. A second moving region detection unit (40) obtains a distribution (profile) of signal values of the set rectangular image portion (Q), (#5) in a vertical direction (longitudinal direction). Furthermore, the second moving region detection unit (40) correlates distributions of signal values of image portions (Q, Q) of two continuous images (P, P) in time series (#6) based on dynamic programming based processing to obtain an enlargement rate (#7). An approaching object determining unit (50) determines according to the enlargement rate whether the object is actually approaching.
Abstract:
A terminal device used for stereo imaging includes: an image shooting means; a communication means that receives a first image of a first angular field from an external terminal device; and a determination means that determines the image shooting range relationship between the first image received by the communication means and a second image of a second angular field shot by the image shooting means, the second angular field beinb wider than the first angular field.
Abstract:
The invention relates to a method of cropping a 3D content comprising at least a first view and a second view t comprising the steps of: - determining (10, 12) a first saliency map from the first view and a second saliency map from the second view; - determining (18, 24, 32) a final cropping window from the first and second saliency maps; and - cropping (20) the first view and the second view according to the final cropping window.
Abstract:
In an electronic endoscope system (11), a changed-area detector (61) detects a changed area (72) from an image (71) captured by an endoscope (12), the changed area having different features from other area of the captured image (71). A mask data producer (62) produces mask data (74, 91) based on the detected changed area, the mask data allocating an image processing parameter to each pixel of the captured image such that the changed area is processed in a different way from the other area. An image processor (63) processes the captured image according to the mask data. Thus, an image area corresponding to an artificial object like a surgical tool (26) may be detected as the changed area and excluded from unnecessary image processing.
Abstract:
There is provided an image processing system, which includes: an image forming unit for forming a number of color flow images based on input image signals; a reference image selecting unit for selecting a reference image for gain control among the color flow images; a gain control value calculating unit for calculating a gain control value based on the reference image; and a gain control unit for controlling gains for the color flow images based on the gain control value.