This document contains information on how to interface the TMS320DM642 to a CMOS Digital Image Sensor in raw capture mode. A complete example is shown, including hardware and software interfaces. The software consists of a set of routines that are compatible with the Video Port Mini

of highway traffic, pollution, wildfires, building security, water quality, and even people’s heart rates. A major benefit of these systems is that they perform in-network processing to reduce large streams of raw data into useful aggregated information. Protecting it all is critical. Here, we outline

to constructing these signatures based on simply recording the actual "raw" values of collected measurements is ineffective, leading us to a more sophisticated approach based on statistical modeling and inference. Our method requires only that the system's metric of merit (such as average

While motion capture is commonplace in character animation, often the raw motion data itself is not used. Rather, it is first fit onto a skeleton and then edited to satisfy the particular demands of the animation. This process can introduce artifacts into the motion. One particularly distracting

, limiting communication will benefit the recipient as well. In our paper we show how time series generated by sensors can be captured and stored in a database system (archive). Sensors compress time series instead of sending them in raw form. We propose an optimal on-line algorithm for constructing a

each low frame-rate depth im-age from a set of short exposure ‘raw ’ infrared captures. These raw captures are taken in quick succession near the beginning of each depth frame, and differ in the modula-tion of their active illumination. We make two contribu-tions. First, we detail how to perform model

the rays on the 2D sensor. Our mask-equipped camera focuses just as a traditional camera to capture conventional 2D photos at full sensor resolution, but the raw pixel values also hold a modulated

In this paper, we introduce a flexible and inexpensive means for acquiring motion capture data from a human actor or other object. The system described requires just a few pieces of hardware, while leveraging the capabilities of off-the-shelf software to track optical markers in raw film footage

spectral sensitivities. This results in signif-icantly different raw images for the same scene captured with different cameras. This paper focuses on estimating a mapping that can convert a raw image of an arbitrary scene and illumination from one camera’s raw space to an-other. To this end, we examine

The production of high-value dairy proteins such as lactoferrin and lactoperoxidase normally requires extensive pre-treatments of milk to remove fat and caseins by centrifugation, precipitation, Ca 2+ chelation and/or filtration. Similarly, fat and caseins are normally removed prior to capture