Abstract: Methods, apparatuses and systems may provide for conducting a quality assessment of a depth localization mode, a color localization mode and an inertia localization mode, and selecting one of the depth localization mode, the color localization mode or the inertia localization mode as an active localization mode based on the quality assessment. Additionally, a pose of a camera may be determined relative to a three-dimensional (3D) environment in accordance with the active localization mode.

Abstract: Methods, apparatuses and systems may provide for conducting a quality assessment of a depth localization mode, a color localization mode and an inertia localization mode, and selecting one of the depth localization mode, the color localization mode or the inertia localization mode as an active localization mode based on the quality assessment. Additionally, a pose of a camera may be determined relative to a three-dimensional (3D) environment in accordance with the active localization mode.

Abstract: A system for registering images includes an image registration unit. The image registration unit is configured to receive first image data for a first image in an N-dimensional space, receive second image data for a second image in the N-dimensional space, calculate a field of update vectors that maps the first image into a moving image, and map the first image into the moving image using the field of update vectors such that the moving image more closely matches the second image. The field of update vectors includes a plurality of N+M dimensional update vectors, each update vector having N spatial components and M extra components. N is a number greater than zero, and M is a number greater than zero. The M extra components of the plurality of update vectors identify portions of the first image that are assigned external values during the mapping the first image into the moving image.

Abstract: A system for registering images includes an image registration unit. The image registration unit is configured to receive first image data for a first image in an N-dimensional space, receive second image data for a second image in the N-dimensional space, calculate a field of update vectors that maps the first image into a moving image, and map the first image into the moving image using the field of update vectors such that the moving image more closely matches the second image. The field of update vectors includes a plurality of N+M dimensional update vectors, each update vector having N spatial components and M extra components. N is a number greater than zero, and M is a number greater than zero. The M extra components of the plurality of update vectors identify portions of the first image that are assigned external values during the mapping the first image into the moving image.