Acquisitions: Photography

Digital photography versus analogue photography 1 Running heading: DIGITAL PHOTOGRAPHY VERSUS ANALOGUE PHOTOGRAPHY. Digital versus Analogue Photography: a comparative analysis

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...

Killer Acquisitions ∗

This article demonstrates that incumbent firms acquire innovative targets to discontinue the development of the targets’ innovation projects in order to preempt future competition. We call such acquisitions “killer acquisitions.” We illustrate the phenomenon using a model with product market competition, innovation, and endogenous acquisition decisions. In our model incumbent firms have incenti...

Homebiased Acquisitions

We show that CEOs exhibit a home bias in acquisitions. Firms are over twice as likely to acquire targets located in their CEOs’ home states than similar targets domiciled elsewhere. The bias is strongest for private targets and when acquirer governance is lax, and these private home deals do not create value, suggesting that CEOs acquire these targets for their own benefits. Unlike typical publ...

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...