Computational Photography: Methods and Applications

Computational Photography: Methods and Applications

Efficient methods for tile-based synthesis and computational photography

This thesis presents contributions to two major topics in computer graphics. The first part describes new algorithms for tile-based synthesis of blue noise point sets and solid textures; the second part describes systems for capturing, viewing, and manipulating outdoor photographs. Well distributed point sets play an important role in computer graphics, as well as many other fields, since they ...

Computational Photography

Computational photography is an emergent multidisciplinary field that combines topics in optics, computer graphics, image and signal processing. The objective is usually the development of new algorithms or systems to capture images overcoming the limitations of conventional techniques. Images are not simply captured as 2D projections of a scene, they are rather coded before reaching the sensor...

Computational Photography

The digital camera has brought a revolutionary shift in the nature of photography, sweeping aside more than 150 years of technology based on the weird and wonderful photochemistry of silver halide crystals. Curiously, though, the camera itself has come through this transformation with remarkably little change. A digital camera has a silicon sensor where the film used to go, and there’s a new di...

Computational Photography: Epsilon to Coded Photography

Computational photography combines plentiful computing, digital sensors, modern optics, actuators, and smart lights to escape the limitations of traditional cameras, enables novel imaging applications and simplifies many computer vision tasks. However, a majority of current Computational photography methods involves taking multiple sequential photos by changing scene parameters and fusing the p...