Antialiasing is a necessary component of any high quality renderer. An antialiased image is produced by convolving the scene with an antialiasing filter and sampling the result, or equivalently by solving the antialiasing integral at each pixel. Though methods for analytically computing this integral exist, they require the continuous two-dimensional result of visible-surface computations. Beca...

Many algorithms exist which generate per-pixel geometry by selectively discarding fragments generated for a simple bounding geometry. On the other hand, multisampling support has become ubiquitous and is almost free in current graphics hardware. In this paper we leverage the ability of setting a pixel’s coverage mask in the pixel shader to make seemingly inherently pixel-based per-pixel geometr...

A parametric model and a corresponding parameter estimation algorithm for unwrapping two-dimensional phase functions, are presented. The proposed algorithm performs global analysis of the observed signal. Since this analysis is based on parametric model tting, the proposed phase unwrapping algorithm has low sensitivity to phase aliasing due to low sampling rates and noise, as well as to local e...

Affine type systems manage resources by preventing some values from being used more than once. This offers expressiveness and performance benefits, but difficulty arises in interacting with components written in a conventional language whose type system provides no way to maintain the affine type system’s aliasing invariants. We propose and implement a technique that uses behavioral contracts t...

Reinforcement learning is an ideal framework to learn visual routines since the routines are made up of sequences of actions. However, such algorithms must be able to handle the hidden state (perceptual aliasing) that results from visual routine’s purposefully narrowed attention. The U-Tree algorithm successfully learns visual routines for a complex driving task in which the agent makes eye mov...

Aliasing refers to the phenomenon that high frequency signals degenerate into completely different ones after sampling. It arises as a problem in context of deep learning downsampling layers are widely adopted architectures reduce parameters and computation. The standard solution is apply low-pass filter (e.g., Gaussian blur) before (Zhang in: ICML, 2020). However, it can be suboptimal same acr...

Introduction: Bunched Phase Encoding (BPE) is a new type of fast data acquisition method in MRI that takes advantage of zigzag k-space trajectories along the PE direction (Fig.1)[1,2]. Sampling frequency of BPE is higher than that of normal acquisition. Since BPE acquisition scheme is comparable to acquiring multiple PE lines in a single readout, the total number of TR cycles and hence the scan...

High-quality shadow anti-aliasing is a challenging problem in shadow mapping. Revectorization-based shadow mapping (RBSM) minimizes shadow aliasing by revectorizing the jagged shadow edges generated with shadow mapping, keeping low memory footprint and real-time performance for the shadow computation. However, the current implementation of RBSM is not so well optimized because its visibility fu...

This paper describes the Advanced Image Display Architecture, AIDA. The primary aims were to design a graphics display subsystem capable of satisfying the needs of both high performance workstations and vehicle simulator visual systems. AIDA can accept planar triangle primitives which have been transformed, clipped and projected by preceding stages. The system implements many desirable features...

In the present study, we aim at on-line planning for realtime navigation of a mobile robot. To realize this, we consider map formation in an unknown environment and an on-line path search on the obtained map. In the map learning process, the symbol map is constructed by the allocation of a location symbol based on the discretization of the range sensor signal and the association of the neighbor...