App Information Direct Face Tracker
- App NameDirect Face Tracker
- Package Namecom.hzhang.directfacetracker
- UpdatedDecember 7, 2014
- File Size15M
- Requires AndroidAndroid 4.0 and up
- DeveloperHui Zhang
- Google Play Link
Direct DICOM Viewer 1.2.4 APK
A free DICOM image viewer focused on versatile, intuitive andstable. Integrated ability as a DICOM server (SCP) to receiveimages from network, echo and store (SCU) to remote PACS.This appis designed for displaying or reviewing purpose, and not certifiedas a medical diagnosis tool. Versatile DICOM image support:●Support displaying DICOM images from internal or external memory(SD card).● Support multiple image modality: CT, MRI, US, CR, OT,NM, XA.● Support different internal data format: 8/12/16 bits,gray/color image, or LUT data.● Support compressed image (relativeslow in decompression, so be patient).● Support multiple frameimage, or image series from multiple files.● Provide detailedinformation of embedded DICOM info.Intuitive image manipulation:●One finger scroll to adjust contrast and brightness (window leveland width). Several window presets are defined and can be quicklyapplied from drop list.● Two fingers to pan or zoom image for morevisible details.DICOM server and client:● Receive DICOM images fromnetwork, and store to SD card.● Echo and store, to push local DICOMimages to remote PACS. ● Provide options to set local and remote AEtitle, port, and remote IP.
Direct Face Tracker 1.0 APK
A simple demo app to show the ability of face detection from liveview. OpenCV / EmguCV libraries, and Android's build-in algorithmsare used to detect and display faces. Some image processingtechniques are used internally to optimize the results.1. Frontface is detected as green rectangle. 2. Side face (enabled byoption menu, disabled by default) is detected as blue or cyanrectangle.3. Android build-in face detection result is displayed aswhite or yellow rectangle.4. User can change live view's resamplesize to improve processing speed.5. User can display debug image(grayed) to observe image quality.