Abstract:
A scene scanning method and a scene scanning system, adapted to obtain information for reconstructing a 3D model, are provided. The method comprises projecting, by a characteristic projecting unit, a characteristic pattern by applying an invisible light in a scene; capturing, by a sensing unit, a data of the scene and the characteristic pattern; and receiving, by a processing unit, the data of the scene and the characteristic pattern captured by the sensing unit.
Abstract:
A three dimensional (3D) sensing method and an apparatus thereof are provided. The 3D sensing method includes the following steps. A resolution scaling process is performed on a first pending image and a second pending image so as to produce a first scaled image and a second scaled image. A full-scene 3D measurement is performed on the first and second scaled images so as to obtain a full-scene depth image. The full-scene depth image is analyzed to set a first region of interest (ROI) and a second ROI. A first ROI image and a second ROI image is obtained according to the first and second ROI. Then, a partial-scene 3D measurement is performed on the first and second ROI images accordingly, such that a partial-scene depth image is produced.
Abstract:
A device for acquiring depth image, a calibrating method and a measuring method therefore are provided. The device includes at least one projecting device, at least one image sensing device, a mechanism device and a processing unit. The projecting device projects a projection pattern to a measured object. The image sensing device is controlled to adjust a focal length and focus position, and therefore sense real images. The mechanism device adjusts a location and/or a convergence angle of the image sensing device. The processing unit calibrates the at least one image sensing device and generates a three dimension (3D) measuring parameter set at a model focal length according to a plurality of image setting parameter reference sets corresponding to a model focal length and a plurality of default node distances, respectively, and then estimates a depth map or depth information of the measured object.
Abstract:
A three dimensional (3D) sensing method and an apparatus thereof are provided. The 3D sensing method includes the following steps. A resolution scaling process is performed on a first pending image and a second pending image so as to produce a first scaled image and a second scaled image. A full-scene 3D measurement is performed on the first and second scaled images so as to obtain a full-scene depth image. The full-scene depth image is analyzed to set a first region of interest (ROI) and a second ROI. A first ROI image and a second ROI image is obtained according to the first and second ROI. Then, a partial-scene 3D measurement is performed on the first and second ROI images accordingly, such that a partial-scene depth image is produced.
Abstract:
A device for acquiring depth image, a calibrating method and a measuring method therefore are provided. The device includes at least one projecting device, at least one image sensing device, a mechanism device and a processing unit. The projecting device projects a projection pattern to a measured object. The image sensing device is controlled to adjust a focal length and focus position, and therefore sense real images. The mechanism device adjusts a location and/or a convergence angle of the image sensing device. The processing unit calibrates the at least one image sensing device and generates a three dimension (3D) measuring parameter set at a model focal length according to a plurality of image setting parameter reference sets corresponding to a model focal length and a plurality of default node distances, respectively, and then estimates a depth map or depth information of the measured object.