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We examine how the organizational identity of established firms affects their strategic outcomes during the emergence phase of a new market. Drawing on cognitive theories of analogical learning, we build theory about how the established identities of producers influence the fluency with which consumers make sense of novel products, and hence affect valuations. We illustrate this theory through an empirical study of consumer evaluations of de alio entrants during the emergence of the digital camera industry.

The chapter aims to highlight developments in photography over the last two centuries, with an emphasis on the switch from analog to digital, and the emergence of Web 2.0 technologies, online photo management sites, and camera phones.

The chapter is a culmination of some of the key literature and research papers on photography, Web 2.0, Flickr, camera phones, and tagging, and is based on the author’s opinion and interpretation.

The chapter reports on how the switch from analog to digital has changed the methods for capturing, organizing, and sharing photographs. In addition, the emergence of Web 2.0 technologies and camera phones have begun to fundamentally change the way that people think about images and the kinds of things that people take photographs of.

The originality of the chapter lies in its predictions about the future direction of photography. The chapter will be of value to those interested in photography, and also to those responsible for the future development of photographic technology.

The purpose of this paper is to resolve the problem of 3D modelling of small objects lacking or without real texture, using an automatic, practical, convenient and effective method.

For each space feature point projected on the surface of the target small object, there are two corresponding 2D points existing. One is an image point in one of the image sequences from the digital camera; another is a point in the slide from the projector. Using the image processing method, the image point can be extracted out accurately so that its 2D coordinates are gained. At the same time, the slide point is designed first so that its 2D coordinates are calculated by the known data. The 3D coordinates of the space feature point can be computed by the space forward intersection.

The projector‐camera system is composed of a slide projector, a digital camera, a control ground, and a computer. The computer controls the other three pieces of equipment, working together automatically and efficiently.

According to the size of the grid, the target object is relatively small. The planar grid is functioned as the calibration of the slide projector and the digital camera.

The paper presents a very effective approach for 3D reconstruction of small objects.

According to the traditional method of the digital camera taking images, the projector is steered so that the projector‐camera system is formed. After being calibrated, respectively, in advance, the projector‐camera system is similar to the binocular vision system in the principle of 3D modelling.

This paper aims to propose a system to acquire images automatically for digital reconstruction of heritage artifacts using a six-degree of freedom industrial manipulator.

A virtual environment is created using Robot Studio® software to integrate the trajectory and differential motion of the robot manipulator and the motion of camera while acquiring images. A new area similarity matrix method is proposed to reduce the number of images required for digital reconstruction using Autodesk Recap® software. Real-time experiments have been performed using objects such as minion, ultimaker robot and cube. Evaluation of the digital reconstruction is conducted using the contour area matching method.

The number of images required for reconstruction based on area similarity matrix method is reduced to 63 per cent when compared with the random selection method. Quality parameters such as surface area, volume, number of defect holes, vertices and faces are enhanced for the proposed method.

Digital reconstruction of large-sized heritage artifacts cannot be performed in this setup. But this can be overcome by fixing the manipulator on a mobile platform or overhead crane. This paper does not discuss the reconstruction of partially damaged heritage artifacts, which could be accomplished based on deep learning techniques.

Using this approach, off-the-shelf heritage artifacts and large-scale objects can be reconstructed digitally with a minimum number of images and without compromising the quality of original models.

To the best of the authors’ knowledge, area similarity-based approach in 3D digital reconstruction by coupling the kinematics of an industrial manipulator and camera is proposed for the first time. A fully automated digital reconstruction technology to preserve valuable heritage artifacts has been developed. It also highlights the space constraints of the industrial manipulator in digital reconstruction.

In addition to pioneering, empirical work on entry order increasingly addresses fast followers and laggards and the potential advantages they are able to capture. There is also a growing consensus in the academia, that current measures of firm performance used in the entry order literature to study these advantages are inadequate. This study analyzes the relationship between entry order and customer evaluations, which, depicting the performance of the firm's products in the market, are used as a proxy for firm performance.

The study is set in the digital camera industry, analyzing entries into each new technology level, in terms of the sensor resolution of compact and bridge cameras. The complete dataset consisted of 1,816 digital camera models introduced between January 1996 and December 2017. The data are analyzed using hierarchical multiple linear regression.

The study finds evidence of early-mover advantage for the compact product category. In the compact camera consumer market, both first-movers and fast followers outperform late movers. Furthermore, the difference in performance in comparison to laggards is greater for first-movers than for fast followers. However, in the bridge category which consists of a more heterogeneous set of products, no significant entry-order effects are detected.

The results clearly indicate that there exists an early mover advantage. Furthermore, the results are not consistent across different product categories within an industry; hence, caution needs to be exercised when analyzing industry dynamics and entry order effects. Finally, our novel conceptualization of firm performance measured as online customer evaluation add new opportunities to investigate firm success

The purpose of this paper is to discuss the challenges involved in collecting and managing digital photographs and provide advice for librarians in appraising, formulating collection development policies, and negotiating gifts of digital photographs.

The ideas in the article are based on author's work with digital photographs at Washington State University and research for a workshop taught through the OCLC Western office on digital photograph collections including long term preservation and management.

By careful appraisal of digital photographs including the consideration of image format, descriptive and technical metadata, and the development of collection development policies, library professionals will ensure that they develop viable collections of digital photographs.

The paper is a very commonsense guide for librarians and visual image curators who are charged to manage and develop collections of digital photographs.

Though there is a vast literature relating to creating in‐house library digital collections, issues relating to digital photograph collection development are not yet available in the professional literature.

The process of building dynamic capabilities remains understudied, although deliberate learning is posited to be the key to developing and maintaining dynamic capabilities in turbulent environments. Based on the case study of Kodak’s responses to the shift from traditional to digital technology in the imaging industry (1993-2011), the purpose of this paper is to examine the role of managerial cognition in building dynamic capabilities.

The paper employs case study and qualitative method approach.

The results reveal that, when facing environmental turbulence, deliberate learning is subject to routine disruptions through entrepreneurial activities, and these organizational routines and activities are determined by organizational schema. Organizational schema itself is updated as a result of managers’ ongoing interpretation of the organization’s fit with the environment. The study findings contribute to the organizational studies and management literature by highlighting the role of managerial cognition into the microfoundation of dynamic capabilities.

The results demonstrate managerial cognition, and organizational schema in particular, as a microfoundation of dynamic capability.

Compares the relative merits of CCD and CMOS based video cameras. Describes the design and fabrication of CMOS sensors which include considerable hardware computational elements on the same chip as the sensor array. These enable the device to output picture information in a form that is directly compatible with multimedia PC application requirements.

The purpose of this paper is to introduce an innovative procedure for digital historical documents image binarization based on image pre‐processing and image condition classification. The estimated results for each class of images and each method have shown improved image quality for the six categories of document images described by their separate characteristics.

The applied technique consists of five stages, i.e. text image acquisition, image preparation, denoising, image type classification in six categories according to image condition, image thresholding and final refinement, a very effective approach to binarize document images. The results achieved by the authors' method require minimal pre‐processing steps for best quality of the image and increased text readability. This methodology performs better compared to current state‐of‐the‐art adaptive thresholding techniques.

An innovative procedure for digital historical documents image binarization based on image pre‐processing, image type classification in categories according to image condition and further enhancement. This methodology is robust and simple, with minimal pre‐processing steps for best quality of the image, increased text readability and it performs better compared to available thresholding techniques.

The technique consists of limited but optimized pre‐processing sequential steps, and attention should be given in document image preparation and denoising, and on image condition classification for thresholding and refinement, since bad results in a single stage corrupt the final document image quality and text readability.

The paper contributes in digital image binarization of text images suggesting a procedure based on image preparation, image type classification and thresholding and image refinement with applicability on Byzantine historical documents.

Comments on recent developments in the machine vision industry and describes some of the more significant exhibits at the IPOT 2001 exhibition, including camera networks, addressable pixel cameras and low resolution thermal imagers.