摘要:
Provided is an image processing apparatus. The image processing apparatus may synthesize an input frame with texture information of another frame and provide an output frame with an enhanced texture component.
摘要:
Provided is an image processing apparatus. The image processing apparatus may synthesize an input frame with texture information of another frame and provide an output frame with an enhanced texture component.
摘要:
An apparatus and method for restoring a hole generated in multi-view rendering are provided. A hole in an output view may be restored using temporally neighboring images.
摘要:
An apparatus and method for restoring a hole generated in multi-view rendering are provided. A hole in an output view may be restored using temporally neighboring images.
摘要:
A view extrapolation apparatus and a view extrapolation method to generate images at a plurality of virtual points uses a relatively small number of input images. The view extrapolation apparatus and the view extrapolation method output a view at a reference point, the view at the reference point being formed of frames generated chronologically, integrate a plurality of successive frames of the view at the reference point to generate an integrated frame, and generate an extrapolated view at a virtual point using the integrated frame.
摘要:
A view extrapolation apparatus and a view extrapolation method to generate images at a plurality of virtual points uses a relatively small number of input images. The view extrapolation apparatus and the view extrapolation method output a view at a reference point, the view at the reference point being formed of frames generated chronologically, integrate a plurality of successive frames of the view at the reference point to generate an integrated frame, and generate an extrapolated view at a virtual point using the integrated frame.
摘要:
An image processing apparatus and method may estimate binocular disparity maps of middle views from among a plurality of views through use of images of the plurality of views. The image processing apparatus may detect a moving object from the middle views based on the binocular disparity maps of the frames. Pixels in the middle views may be separated into dynamic pixels and static pixels through detection of the moving object. The image processing apparatus may apply bundle optimization and a local three-dimensional (3D) line model-based temporal optimization to the middle views so as to enhance binocular disparity values of the static pixels and dynamic pixels.
摘要:
An image processing apparatus and a method for enhancing depth are disclosed. The image processing apparatus may classify an input image into a foreground layer, a middle layer, a background layer, may calculate a representative color of each of the classified layers, and perform rendering of a color stereoscopy of the middle layer and a color stereoscopy of the background layer based on the representative color and a lightness of the background layer, thereby enhancing a stereoscopic effect and a depth. Also, a color temperature of the foreground layer and a color temperature of the middle layer are controlled based on the representative color and the background layer, to generate a difference in depth between the middle layer and the foreground layer, thereby representing an image having a more enhanced depth.
摘要:
A disparity estimation system, apparatus, and method of estimating a consistent depth from a multi-view video. When estimating a disparity at a plurality of viewpoints, the disparity estimation system may estimate a temporally consistent disparity considering a temporal smoothness between proximate frames.
摘要:
A camera pose tracking apparatus may track a camera pose based on frames photographed using at least three cameras, may extract and track at least one first feature in multiple-frames, and may track a pose of each camera in each of the multiple-frames based on first features. When the first features are tracked in the multiple-frames, the camera pose tracking apparatus may track each camera pose in each of at least one single-frame based on at least one second feature of each of the at least one single-frame. Each of the at least one second feature may correspond to one of the at least one first feature, and each of the at least one single-frame may be a previous frame of an initial frame of which the number of tracked second features is less than a threshold, among frames consecutive to multiple-frames.