Abstract: Techniques are described for generating a distance map (e.g., a map of disparity, depth or other distance values) for image elements (e.g., pixels) of an image capture device. The distance map is generated based on an initial distance map (obtained, e.g., using a block or code matching algorithm) and a segmentation map (obtained using a segmentation algorithm). In some instances, the resulting distance map can be less sparse than the initial distance map, can contain more accurate distance values, and can be sufficiently fast for real-time or near real-time applications. The resulting distance map can be converted, for example, to a color-coded distance map of a scene that is presented on a display device.

Abstract: The disclosure describes optoelectronic devices for collecting three-dimensional data without determining disparity. The approach permits significant flexibility relative to state-of-the-art approaches for collecting three-dimensional data. For example, the illuminations (e.g., patterns) generated by the disclosed devices need not exhibit the same degree of complexity or randomness of illuminations generally required by structured-light approaches. Further, the devices described in the present disclosure exhibit, in some instances, optimal resolution over a wide distance range. An optoelectronic device described herein is operable to generate an illumination comprising a plurality of high-intensity features that exhibit a distance-dependent alteration when imaged by an imager incorporated into the optoelectronic device.

Abstract: Image sensor modules include primary high-resolution imagers and secondary imagers. For example, an image sensor module may include a semiconductor chip including photosensitive regions defining, respectively, a primary camera and a secondary camera. The image sensor module may include an optical assembly that does not substantially obstruct the field-of-view of the secondary camera. Some modules include multiple secondary cameras that have a field-of-view at least as large as the field-of-view of the primary camera. Various features are described to facilitate acquisition of signals that can be used to calculate depth information.

Abstract: The present disclosure describes projecting a structured light pattern onto a surface and detecting and responding to interactions with the same. A method includes-acquiring an image based on light reflected from a vicinity of the projection surface, and identifying regions of the acquired image that correspond to a feature that is within a specified distance of the projection surface by identifying regions of the acquired image for which intensity data differs relative to other regions of the acquired image and which fit a specified homographic relationship with respect to corresponding regions of a reference image.

Abstract: The present disclosure describes projecting a structured light pattern projected onto a surface and detecting and responding to interactions with the same. The techniques described here can, in some cases, facilitate recognizing that an object such as a user's hand is adjacent the plane of a projection surface and can distinguish the object from the projection surface itself. Movement of the object then can be interpreted, for example, as a specified type of gesture that can trigger a specified type of operation to occur.

Abstract: Generating a super-resolved reconstructed image includes acquiring a multitude of monochromatic images of a scene and extracting high-frequency band luma components from the acquired images. A high-resolution luma image is generated using the high-frequency components and motion data for the acquired images. The high-resolution luma image is combined with an up-sampled color image, generated from the acquired images, to generate a super-resolved reconstructed color image of the scene.