Abstract: Stereo gaze tracking estimates a 3-D gaze point by projecting determined right and left eye gaze points on left and right stereo images. The determined right and left eye gaze points are based on one or more tracked eye gaze points, estimates for non-tracked eye gaze points based upon the tracked gaze points and image matching in the left and right stereo images, and confidence scores indicative of the reliability of the tracked gaze points and/or the image matching.

Abstract: Methods of and a system for providing force information for a robotic surgical system. The method includes storing first kinematic position information and first actual position information for a first position of an end effector; moving the end effector via the robotic surgical system from the first position to a second position; storing second kinematic position information and second actual position information for the second position; and providing force information regarding force applied to the end effector at the second position utilizing the first actual position information, the second actual position information, the first kinematic position information, and the second kinematic position information. Visual force feedback is also provided via superimposing an estimated position of an end effector without force over an image of the actual position of the end effector. Similarly, tissue elasticity visual displays may be shown.

Abstract: Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.

Abstract: In one embodiment of the invention, an apparatus is disclosed including an image sensor, a color filter array, and an image processor. The image sensor has an active area with a matrix of camera pixels. The color filter array is in optical alignment over the matrix of the camera pixels. The color filter array assigns alternating single colors to each camera pixel. The image processor receives the camera pixels and includes a correlation detector to detect spatial correlation of color information between pairs of colors in the pixel data captured by the camera pixels. The correlation detector further controls demosaicing of the camera pixels into full color pixels with improved resolution. The apparatus may further include demosaicing logic to demosaic the camera pixels into the full color pixels with improved resolution in response to the spatial correlation of the color information between pairs of colors.

Abstract: A local contrast enhancement method transforms a first plurality of color components of a first visual color image into a modified brightness component by using a first transformation. The first plurality of color components are in a first color space. The modified brightness component is a brightness component of a second color space. The second color space also includes a plurality of chromatic components. The method transforms all the color components of the first color space into the chromatic components of the second color space. The method then transforms the modified brightness component and the chromatic components of the second color space into a plurality of new color components, in the first color space, of a second visual color image. The method transmits the plurality of new color components to a device such as a display device. The second visual color image has enhanced contrast in comparison to the first visual color image.

Abstract: An illumination channel, a stereoscopic optical channel and another optical channel are held and positioned by a robotic surgical system. A first capture unit captures a stereoscopic visible image from the first light from the stereoscopic optical channel while a second capture unit captures a fluorescence image from the second light from the other optical channel. An intelligent image processing system receives the captured stereoscopic visible image and the captured fluorescence image and generates a stereoscopic pair of fluorescence images. An augmented stereoscopic display system outputs a real-time stereoscopic image comprising a three-dimensional presentation of a blend of the stereoscopic visible image and the stereoscopic pair of fluorescence images.

Abstract: The present disclosure relates to calibration assemblies and methods for use with an imaging system, such as an endoscopic imaging system. A calibration assembly includes: an interface for constraining engagement with an endoscopic imaging system; a target coupled with the interface so as to be within the field of view of the imaging system, the target including multiple of markers having calibration features that include identification features; and a processor configured to identify from first and second images obtained at first and second relative spatial arrangements between the imaging system and the target, respectively, at least some of the markers from the identification features, and using the identified markers and calibration feature positions within the images to generate calibration data.

Abstract: Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.

Abstract: Provided are a system and method for image sharpening is provided that involves capturing an image, and then decomposing the image into a plurality of image-representation components, such as RGB components for example. Each image-representation component is transformed to obtain an unsharpened multi-resolution representation for each image-representation component. A multi-resolution representation includes a plurality of transformation level representations. Sharpness information is transported from an unsharpened transformation level representation of a first one of the image-representation components to a transformation level representation of an unsharpened multi-resolution representation of a second one of the image-representation components to create a sharpened multi-resolution representation of the second one of the image-representation components. The sharpened multi-resolution representation of the second one of the image-representation components is then transformed to obtain a sharpened image.

Abstract: A robotic surgical system positions and holds an endoscope. A visible imaging system is coupled to the endoscope. The visible imaging system captures a visible image of tissue. An alternate imaging system is also coupled to the endoscope. The alternate imaging system captures a fluorescence image of at least a portion of the tissue. A stereoscopic video display system is coupled to the visible imaging system and to the alternate imaging system. The stereoscopic video display system outputs a real-time stereoscopic image comprising a three-dimensional presentation of a blend of a fluorescence image associated with the captured fluorescence image, and the visible image.

Abstract: An endoscope with a stereoscopic optical channel is again held and positioned by a robotic surgical system. A capture unit captures (1) at a first time, a first image from light from the channel; and (2) at a second time different from the first time, a second image from the light. Only one of the first image and the second image includes a combination of a fluorescence image and a visible image. The other of the first image and the second image is a visible image. An intelligent image processing system generates an artificial fluorescence image using the captured fluorescence image. An augmented stereoscopic display system outputs an augmented stereoscopic image of at least a portion of the tissue comprising the artificial fluorescence image.

Abstract: In one embodiment of the invention, a method is disclosed to locate a robotic instrument in the field of view of a camera. The method includes capturing sequential images in a field of view of a camera. The sequential images are correlated between successive views. The method further includes receiving a kinematic datum to provide an approximate location of the robotic instrument and then analyzing the sequential images in response to the approximate location of the robotic instrument. An additional method for robotic systems is disclosed. Further disclosed is a method for indicating tool entrance into the field of view of a camera.

Abstract: In one embodiment of the invention, a method for a robotic system is disclosed to track one or more robotic instruments. The method includes generating kinematics information for the robotic instrument within a field of view of a camera; capturing image information in the field of view of the camera; and adaptively fusing the kinematics information and the image information together to determine pose information of the robotic instrument. Additionally disclosed is a robotic medical system with a tool tracking sub-system. The tool tracking sub-system receives raw kinematics information and video image information of the robotic instrument to generate corrected kinematics information for the robotic instrument by adaptively fusing the raw kinematics information and the video image information together.

Abstract: In one embodiment of the invention, a method is disclosed to locate a robotic instrument in the field of view of a camera. The method includes capturing sequential images in a field of view of a camera. The sequential images are correlated between successive views. The method further includes receiving a kinematic datum to provide an approximate location of the robotic instrument and then analyzing the sequential images in response to the approximate location of the robotic instrument. An additional method for robotic systems is disclosed. Further disclosed is a method for indicating tool entrance into the field of view of a camera.

Abstract: In one embodiment of the invention, a tool tracking system is disclosed including a computer usable medium having computer readable program code to receive images of video frames from at least one camera and to perform image matching of a robotic instrument to determine video pose information of the robotic instrument within the images. The tool tracking system further includes computer readable program code to provide a state-space model of a sequence of states of corrected kinematics information for accurate pose information of the robotic instrument. The state-space model receives raw kinematics information of mechanical pose information and adaptively fuses the mechanical pose information and the video pose information together to generate the sequence of states of the corrected kinematics information for the robotic instrument. Additionally disclosed are methods for image guided surgery.

Abstract: Robotic devices, systems, and methods for use in telesurgical therapies through minimally invasive apertures make use of joint-based data throughout much of the robotic kinematic chain, but selectively rely on information from an image capture device to determine location and orientation along the linkage adjacent a pivotal center at which a shaft of the robotic surgical tool enters the patient. A bias offset may be applied to a pose (including both an orientation and a location) at the pivotal center to enhance accuracy. The bias offset may be applied as a simple rigid transformation from the image-based pivotal center pose to a joint-based pivotal center pose.

Abstract: Robotic and/or measurement devices, systems, and methods for telesurgical and other applications employ input devices operatively coupled to tools so as to allow a system user to manipulate tissues and other structures being measured. The system may make use of three dimensional position information from stereoscopic images. Two or more discrete points can be designated in three dimensions so as to provide a cumulative length along a straight or curving structure, an area measurement, a volume measurement, or the like. The discrete points may be identified by a single surgical tool or by distances separating two or more surgical tools, with the user optionally measuring a structure longer than a field of view of the stereoscopic image capture device by walking a pair of tools “hand-over-hand” along the structure.

Abstract: Robotic and/or measurement devices, systems, and methods for telesurgical and other applications employ input devices operatively coupled to tools so as to allow a system user to manipulate tissues and other structures being measured. The system may make use of three dimensional position information from stereoscopic images. Two or more discrete points can be designated in three dimensions so as to provide a cumulative length along a straight or curving structure, an area measurement, a volume measurement, or the like. The discrete points may be identified by a single surgical tool or by distances separating two or more surgical tools, with the user optionally measuring a structure longer than a field of view of the stereoscopic image capture device by walking a pair of tools “hand-over-hand” along the structure.

Abstract: A scene-based non-uniformity correction method employing local constant statistics for eliminating fixed pattern noise in a video comprising a plurality of images is disclosed, comprising the steps of providing an initial gain image, an initial offset image, a predetermined pyramid level, and a filter of a predetermined level; setting one of the plurality of input images to the current image; calculating a temporary true scene image for the current image based on the initial gain image and the initial offset image; accumulating a temporal mean image and a temporal standard deviation image based on the calculated temporary true scene image; setting another of the plurality of images to the current image and repeating the setting, calculating, and accumulating steps until substantially all of the images of the plurality of images have been processed, otherwise further perform the steps of calculating a Gaussian mean image based on the accumulated temporal mean and calculating a Gaussian gain image based on the

Abstract: The present disclosure relates to systems, methods, and tools for tool tracking using image-derived data from one or more tool located reference features. A method includes: directing illuminating light from a light source onto a robotic surgical tool within a patient body, wherein the tool includes a plurality of primitive features having known positions on the tool, and wherein each feature includes a spherical reflective surface; capturing stereo images of the plurality of primitive features when the tool is within the patient body, wherein the stereo images are captured by an image capture device adjacent the illumination source so that the illumination light reflected from the imaged primitive features toward the image capture device substantially aligns with spherical centers of the surfaces of the imaged primitive features, and determining a position for the tool by processing the stereo images so as to locate the spherical centers of the imaged primitive features by using the reflected light.