Abstract: A system includes an intraoral scanner and a computing device operatively connected to the intraoral scanner. The intraoral scanner generates three-dimensional scan data of a tooth and further generates color data of the tooth under multi-chromatic light. The computing device receives the three-dimensional scan data and the color data of the tooth during a first mode of operation. The computing device invokes a second mode of operation, and presents, in a graphical user interface (GUI), an image of the tooth. The computing device further presents, in the GUI, data indicating a plurality of color zones of the tooth and further indicating, for at least one color zone of the plurality of color zones, that insufficient color data has been received, wherein each color zone indicates a separate region of the tooth that is expected to have approximately uniform color.

Abstract: A method includes receiving scan data of a tooth during a first mode of operation, the scan data of the tooth having been generated by an intraoral scanner. The method includes invoking a second mode of operation and presenting, in a GUI, an image of the tooth. The method includes presenting, in the GUI, indications of a plurality of color zones of the tooth, the indications comprising, for at least one color zone of the plurality of color zones, an indication that insufficient color information has been received, wherein each color zone represents a separate region of the tooth for which an approximately uniform color is to be used. The method includes categorizing, for one or more color zones of the plurality of color zones for which sufficient color information has been received, each of the one or more color zones according to a color pallet used for dental prosthetics.

Abstract: An intraoral scanner system includes an intraoral scanner having an imaging device and a sensing face, and a computing device, communicatively coupled to the intraoral scanner. The computing device receives a first intraoral images of a three-dimensional intraoral object of a patient generated by the intraoral scanner corresponding to an intraoral scanning of the three-dimensional intraoral object of the patient. The computing device registers a first intraoral image of the first intraoral images relative to a second intraoral image of the first intraoral images using a model of the three-dimensional intraoral object that existed prior to the intraoral scanning.

Abstract: First intraoral images of a first portion of a three-dimensional intraoral object are received. The first intraoral images correspond to an intraoral scan of the three-dimensional intraoral object during a current patient visit. A pre-existing model that corresponds to the three-dimensional intraoral object is identified. The pre-existing model is based on intraoral data of the three-dimensional intraoral object captured during a previous patient visit. A first intraoral image of the first intraoral images is registered to a first portion of the pre-existing model. A second intraoral image of the first intraoral images is registered to a second portion of the pre-existing model.

Abstract: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: A system includes an intraoral scanner and a computing device operatively connected to the intraoral scanner. The intraoral scanner generates three-dimensional scan data of a tooth and further performs color measurements of the tooth. The computing device receives the three-dimensional scan data of the tooth during a first mode of operation. The computing device invokes a second mode of operation, and presents, in a graphical user interface (GUI), an image of the tooth. The computing device further presents, in the GUI, data indicating a plurality of color zones of the tooth and further indicating, for at least one color zone of the plurality of color zones, that insufficient color information has been received, wherein each color zone indicates a separate region of the tooth that is expected to have approximately uniform color.

Abstract: An imaging apparatus includes a first and second light source, focusing optics, a probe, a detector, an optical transmission medium and a color sensor. The first light source is to generate light beams that travel through the focusing optics along an optical path to the probe. The probe directs the light beams toward a three dimensional object to be imaged. The detector detects returning light beams that are reflected off of the three dimensional object and directed back through the probe and the focusing optics. The second light source is to generate multi-chromatic light. The optical transmission medium is outside of the optical path and is to receive a ray of the multi-chromatic light reflected off of a spot on the three dimensional object and through the probe. The color sensor is to receive the ray from the optical transmission medium and determine a color of the spot on the three dimensional object.

Abstract: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: A first multitude of intraoral images of a first portion of a three-dimensional intraoral object are received. A pre-existing model that corresponds to the three-dimensional intraoral object is identified. A first intraoral image of the first multitude of intraoral images is registered to a first portion of the pre-existing model. A second intraoral image of the first multitude of intraoral images is registered to a second portion of the pre-existing model.

Abstract: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: Optical scan data including a first set of images representing a first portion of a three-dimensional object is received. A processing device receives ultrasound scan data including a second set of three-dimensional images representing a second portion of the three-dimensional object. The processing device performs image stitching between the second set of three-dimensional images using the optical scan data. The processing device then creates a virtual model of the three-dimensional object based on the stitched second set of three-dimensional images.

Abstract: An imaging apparatus includes a first and second light source, focusing optics, a probe, a detector, an optical transmission medium and a color sensor. The first light source is to generate light beams that travel through the focusing optics along an optical path to the probe. The probe directs the light beams toward a three dimensional object to be imaged. The detector detects returning light beams that are reflected off of the three dimensional object and directed back through the probe and the focusing optics. The second light source is to generate multi-chromatic light. The optical transmission medium is outside of the optical path and is to receive a ray of the multi-chromatic light reflected off of a spot on the three dimensional object and through the probe. The color sensor is to receive the ray from the optical transmission medium and determine a color of the spot on the three dimensional object.

Abstract: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: Optical scan data including a first set of images representing a first portion of a three-dimensional object is received. A processing device receives ultrasound scan data including a second set of three-dimensional images representing a second portion of the three-dimensional object. The processing device performs image stitching between the second set of three-dimensional images using the optical scan data. The processing device then creates a virtual model of the three-dimensional object based on the stitched second set of three-dimensional images.