Practical Camera Sensor Spectral Response and Uncertainty Estimation

BHAVSAR, RAJAGOPALAN: DEPTH ESTIMATION WITH A PRACTICAL CAMERA 1 Depth estimation with a practical camera

Given an off-the-shelf camera, one has the freedom to move the camera or play around with its intrinsic parameters such as zoom or aperture settings. We propose a framework for depth estimation from a set of calibrated images, captured under general camera motion and parameter variation. Our framework considers the practical trade-offs in a camera and hence essentially generalizes the more cons...

Depth Estimation with a Practical Camera

We propose a framework for depth estimation from a set of calibrated images, captured with a moving camera with varying parameters. Our framework respects the physical limits of the camera, and considers various effects such as motion parallax, defocus blur, zooming and occlusions which are often unavoidable. In fact, the stereo [1] and the depth from defocus [2] are essentially special cases i...

Rank-based camera spectral sensitivity estimation.

In order to accurately predict a digital camera response to spectral stimuli, the spectral sensitivity functions of its sensor need to be known. These functions can be determined by direct measurement in the lab-a difficult and lengthy procedure-or through simple statistical inference. Statistical inference methods are based on the observation that when a camera responds linearly to spectral st...

Spectral Estimation for Sensor Arrays

The array processing problem is briefly discussed and an abstract spectral estimation problem is formulated. This abstract problem involves the estimation of a multi-dimensional frequency-wavevector power spectrum given certain measurements of the correlation function and knowledge of the spectral support. The pursuit of correlation-matching spectral estimates leads to the extendibility questio...

Performances of classic and weighted versions of some selected methods in estimation of spectral data from camera responses