Abstract:
In embodiments of augmenting a moveable entity with a hologram, an alternate reality device (100) includes a tracking system (108) that can recognize an entity in an environment and track movement of the entity in the environment. The alternate reality device can also include a detection algorithm (128) implemented to identify the entity recognized by the tracking system based on identifiable characteristics of the entity. A hologram positioning application (124) is implemented to receive motion data from the tracking system, receive entity characteristic data from the detection algorithm, and determine a position and an orientation of the entity in the environment based on the motion data and the entity characteristic data. The hologram positioning application can then generate a hologram that appears associated with the entity as the entity moves in the environment.
Abstract:
Die Erfindung geht aus voneinem Verfahren zu einer Erkennung von Objekten (10), insbesondere von dreidimensionalen Objekten (10), wobei in zumindest einem Verfahrensschritt ein digitales Abtasten (12) zumindest eines Bildaus- schnitts (14, 16, 18) eines Abbilds (42) zumindest eines zu erkennenden Ob- jekts(10) zu einer digitalen Erfassung (20) von Punkten (44, 46) des Abbilds (42) erfolgt. Es wird vorgeschlagen, dassdie digitale Erfassung(20) zumindest von einzelnen Punkten (44, 46) des Abbilds (42) zumindest in Abhängigkeit von einer Abwei- chung von zumindest einer Kenngröße zumindest zweier Punkte (44, 46) erfolgt, insbesondere in Abhängigkeit von einer Abweichung von zumindest einer Kenn- größe eines zuletzt digital erfassten Punkts (44) im Vergleich zu einer Kenngröße zumindest eines digital zu erfassenden Punkts (46).
Abstract:
A system, article, and method of curved object recognition using image matching for image processing, comprising: using paired 2D-3D point(s) to form a perspective projection function to determine a geometric correspondence between target object and reference object(s) and that converts the 2D points into 3D points at the target object.
Abstract:
The present disclosure provides for methods, systems and instruments for creating a partial model of a head for use in planning or tracking a procedure, such as hair transplantation. The methodology allows for an accurate 3D representation to be quickly and efficiently generated of an identified portion of the head, not the entire head, from two or more 2D images, such as still images. According to the methodology of the present disclosure a 3D dome representation of the top portion of the head of a subject may be created based on the data extracted from one or more 2D images and/or a certain determined height dimension.
Abstract:
A three dimensional (3D) content generating apparatus includes an inputter configured to receive a plurality of images of an object captured from different locations; a detector configured to identify the object and detect a predetermined feature point of the object from each of the plurality of images; a map former configured to extract 3D location information of the detected feature point, and configured to form at least one depth map with respect to a surface of the object based on the extracted 3D location information of the feature point; and a content generator configured to generate a 3D content of the object using the at least one depth map and the plurality of images.
Abstract:
L'invention concerne un procédé de vérification (200) de la véracité d'un doigt par un dispositif de vérification comportant un dispositif de projection projetant une mire de lignes parallèles et orthogonales à la direction longitudinale du doigt, un dispositif de capture capturant une image du doigt et de la mire, et une unité de traitement, le procédé comportant: une étape d'éclairage (201) où le dispositif de projection éclaire le doigt avec la mire, une étape de capture (202) sans contact où le dispositif de capture capture une image de mire de la mire projetée, une étape d'extraction de franges (206) où l'unité de traitement extrait des franges à partir de l'image de mire, une étape de calcul de caractéristique (208) où l'unité de traitement calcule une caractéristique relative à la structure physique des franges, une étape de comparaison (210) au cours de laquelle l'unité de traitement compare la caractéristique calculée avec des valeurs de référence, et une étape de prise de décision (212) où l'unité de traitement prend une décision concernant la véracité du doigt.
Abstract:
A three-dimensional (3D) scene is computationally reconstructed using a combination of plural modeling techniques. Point clouds representing an object in the 3D scene are generated by different modeled techniques and each point is encoded with a confidence value which reflects a degree of accuracy in describing the surface of the object in the 3D scene based on strengths and weaknesses of each modeling technique. The point clouds are merged in which a point for each location on the object is selected according to the modeling technique that provides the highest confidence.
Abstract:
Provided herein are systems and methods for identification of gemstones. The gemstones can be identified without removing the gemstones from an object in which the gemstones can be set. The gemstones can be imaged and image analysis can quantify one or more external and/or internal characteristics of the gemstone. The quantification of the one or more external and/or internal characteristics of the gemstone can be compared to a previous characterization to positively identify the gemstone.
Abstract:
A driving determination device includes an acquirer configured to acquire at least a captured image of a driving body in a driving direction and information that changes with movement of the driving body; a driving level calculator configured to calculate a driving level for evaluating a driving method for the driving body for each predetermined determination item, using at least one of the acquired captured image and the acquired information that changes with the movement of the driving body; an itemized calculator configured to calculate values based on a plurality of the calculated driving levels for each determination item; and an evaluation result calculator configured to calculate a value for comprehensively evaluating the driving method for the driving body, using the values based on the driving levels for each determination item.
Abstract:
According to one example for segmenting image data, image data comprising color pixel data, IR data, and depth data is received from a sensor. The image data is segmented into a first list of objects based on at least one computed feature of the image data. At least one object type is determined for at least one object in the first list of objects. The segmentation of the first list of objects is refined into a second list of objects based on the at least one object type. In an example, the second list of objects is output.