Abstract:
A “mesostructure renderer” uses pre-computed multi-dimensional “generalized displacement maps” (GDM) to provide real-time rendering of general non-height-field mesostructures on both open and closed surfaces of arbitrary geometry. In general, the GDM represents the distance to solid mesostructure along any ray cast from any point within a volumetric sample. Given the pre-computed GDM, the mesostructure renderer then computes mesostructure visibility jointly in object space and texture space, thereby enabling both control of texture distortion and efficient computation of texture coordinates and shadowing. Further, in one embodiment, the mesostructure renderer uses the GDM to render mesostructures with either local or global illumination as a per-pixel process using conventional computer graphics hardware to accelerate the real-time rendering of the mesostructures. Further acceleration of mesostructure rendering is achieved in another embodiment by automatically reducing the number of triangles in the rendering pipeline according to a user-specified threshold for acceptable texture distortion.
Abstract:
The invention relates to manifold mosaic hopping for image-base rendering (IBR). In one embodiment, a set of manifold mosaics is constructed. Depending on the desired application, the mosaics can be concentric mosaics, parallel mosaics, as well as other types of mosaics. Each mosaic represents a number of unique viewpoints that different from one another in only one direction. From a current camera or viewing position within the set of mosaics, a new position can be moved to, such that the movement is continuous over any one mosaic, and is discrete across the mosaics. An image is rendered by local warping, without interpolation of more than one mosaic.
Abstract:
Described is a search technology in which spatially varying anisotropic reflectance is modeled using image data captured from a single view. Reflectance at each point is represented using a microfacet-based Bidirectional Reflectance Distribution Function (BRDF). Modeling processes the image data, which provides a partial normal distribution function (NDF) for each surface point. The NDF at each selected point is completed by texture synthesis using similar, overlapping partial NDFs from other points. Also described is a scanning device that illuminates a sample surface from a two-dimensional set of light directions using a linear array of LEDs moved over a flat sample.
Abstract:
The present invention provides a full human anti-TNF-α monoclonal antibody, the preparation method and use thereof. The antibody in the present invention has an amino acid sequence of heavy chain variable region as shown in SEQ ID NO: 6 and an amino acid sequence of light chain variable region as shown in SEQ ID NO: 8. The antibody in the present invention can be used to prepare medicines for the treatment of autoimmune disorders.
Abstract translation:本发明提供了全人类抗TNF-α单克隆抗体,其制备方法和用途。 本发明的抗体具有如SEQ ID NO:6所示的重链可变区的氨基酸序列和如SEQ ID NO:8所示的轻链可变区的氨基酸序列。本发明中的抗体可以 用于制备治疗自身免疫性疾病的药物。
Abstract:
A novel multi-pass encoding method that encodes several images (e.g., several frames of a video sequence) is described. The method iteratively performs an encoding operation that encodes these images. The encoding operation is based on a nominal quantization parameter, which the method uses to compute quantization parameter for the images. During several different iterations of the encoding operation, the method uses several different nominal quantization parameters. The method stops its iterations when it reaches a terminating criterion (e.g., it identifies an acceptable encoding of the images).
Abstract:
The present invention provides a full human anti-TNF-α monoclonal antibody, the preparation method and use thereof. The antibody in the present invention has an amino acid sequence of heavy chain variable region as shown in SEQ ID NO: 6 and an amino acid sequence of light chain variable region as shown in SEQ ID NO: 8. The antibody in the present invention can be used to prepare medicines for the treatment of autoimmune disorders.
Abstract translation:本发明提供了全人类抗TNF-α单克隆抗体,其制备方法和用途。 本发明的抗体具有如SEQ ID NO:6所示的重链可变区的氨基酸序列和如SEQ ID NO:8所示的轻链可变区的氨基酸序列。本发明中的抗体可以 用于制备治疗自身免疫性疾病的药物。
Abstract:
Techniques for encoding data based at least in part upon an awareness of the decoding complexity of the encoded data and the ability of a target decoder to decode the encoded data are disclosed. In some embodiments, a set of data is encoded based at least in part upon a state of a target decoder to which the encoded set of data is to be provided. In some embodiments, a set of data is encoded based at least in part upon the states of multiple decoders to which the encoded set of data is to be provided.
Abstract:
Some embodiments provide a video recording device for capturing a video clip. The video recording device receives a selection of a non-temporally compressed encoding scheme from several different encoding schemes for encoding the video clip. The different encoding schemes include at least one temporally compressed encoding scheme and at least the selected non-temporally compressed encoding scheme. The video recording device captures the video clip as several frames. The video recording device non-temporally encodes each of the frames as several slices. The slices of a particular frame are for decoding by several processing units of a video decoding device. The video recording device stores the video clip in a storage.
Abstract:
Encoded HDR textures are described. In one aspect, a HDR image comprised is preprocessed such that HDR information is represented in a single color channel. The preprocessed image is quantized in view of two luminance ranges to retain HDR in the single color channel. Each block of quantized channel information is then encoded across two textures (encoded HDR textures). Specifically, when encoding a block of the quantized information, pixels in a first range of the two luminance ranges are put into a color channel associated with a first texture. Additionally, pixels in a second range of the two luminance ranges are stored into a color channel associated with a second texture.
Abstract:
An exemplary computer-implementable method includes providing a computer-generated object wherein the object has characteristics, emitting a computer-generated particle, determining if the particle interacts with the object and, if the particle interacts with the object, altering one or more of the characteristic of the object wherein the altering simulates weathering or aging of the object. Various other exemplary techniques are also disclosed.