Abstract:
An image processing apparatus includes a first processor configured to obtain, from a color image, an illumination element image and an albedo element image corresponding to the color image, and a second processor configured to divide the illumination element image into a plurality of subelement images each corresponding to the color image.
Abstract:
A display method includes displaying, in a virtual environment, an object to which a light source is set. The method further includes illuminating an area around the object based on the light source.
Abstract:
Disclosed is a depth map calculation method and apparatus. The depth map calculation method includes calculating a global sparse depth map corresponding to a current frame using frames including the current frame, calculating a local dense depth map corresponding to the current frame using the current frame, extracting a non-static object region from the current frame by masking a static object region, removing the non-static object region from the global sparse depth map, and generating a global dense depth map corresponding to the current frame by merging the non-static object region-removed global sparse depth map and the local dense depth map.
Abstract:
An image processing apparatus includes a processor configured to calculate a curvature value of a first point in stereo images based on a disparity value corresponding to the first point, and refine the disparity value based on the curvature value.
Abstract:
A method of displaying an illumination includes: based on illumination information, determining, using a least one processor, an illumination area to which an illumination assigned in a virtual space is projected; and visualizing, using the at least one processor, an illumination effect produced by the illumination with respect to a determined boundary area in the illumination area, the determined boundary area including a boundary and a portion of the determined illumination area that is less than all of the determined illumination area.
Abstract:
A method and apparatus for modeling smoke turbulence is disclosed. The method of modeling smoke turbulence includes detecting a turbulent area comprising smoke turbulence in a low-resolution image, and searching for a high-resolution patch matching the turbulent area in a memory that comprises high-resolution patches representing smoke turbulence extracted from high-resolution images. The method also models the smoke turbulence by synthesizing the retrieved patch to the low-resolution image.
Abstract:
A method of displaying caustics, the method includes determining intersection positions at which rays emitted from a light source pass through particles of a first object and meet a second object; applying caustic textures to the intersection positions; and rendering the first object using a caustic map based on a result of the applying caustic textures to the intersection positions.
Abstract:
A method of adjusting a brightness of an image includes matching an object model to an object based on one or more feature points of the object extracted from an input image including the object; mapping a surface normal map in a two-dimensional (2D) image form to the input image based on the matched object model; and generating shadow information for the input image based on the mapped surface normal map and a virtual light source.
Abstract:
An image processing apparatus includes a memory configured to store a data structure in which gather rays generated by performing gather ray tracing from a rendering viewpoint are clustered hierarchically, the gather rays including a first gather ray and a second gather ray associated with the first gather ray in the data structure, and a processor configured to merge a photon gathering result associated with the second gather ray with a photon gathering result associated with the first gather ray in response to the photon gathering result associated with the first gather ray not satisfying a first condition.
Abstract:
A high precision signal sensing system and method using an infrared light is provided. The high precision signal sensing system may receive, from a light emitting device, a plurality of lights including a first light and a second light, may measure intensities of the first light and the second light, and may measure a light emitting intensity of the light emitting device based on an intensity difference between the measured light receiving intensities.