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Domain: eyetap.org
Stories and comments across the archive that link to eyetap.org.
Stories · 5
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Augmented HDR Vision For Welders (And Others)
jehan60188 writes about a research project (involving Steve Mann) that combines a welding helmet and realtime HDR image processing to give welders a clear view of what they're working on. From the article: "In this demonstration, we present a specialized version of HDR imaging (use of multiple differently exposed input images for each extended-range output image), adapted for use in electric arc welding, which also shows promise as a general-purpose seeing aid. TIG welding, in particular, presents an extremely high dynamic range scene (higher than most other welding processes). Since TIG welding requires keen eyesight and exact hand-to-eye coordination (i.e. more skill and more visual acuity than most other welding processes), being able to see in such extreme dynamic range is beneficial to welders and welding inspectors. ... We present HDRchitecture as either a fixed camera system (e.g. for use on a tripod), or as a stereo EyeTap cybernetic welding helmet that records and streams live video from a welding booth to students or observers, nearby or remote. By capturing over a dynamic range of more than a million to one, we can see details that cannot be seen by the human eye or any currently existing commercially available cameras. We also present a highly parallelizable and computationally efficient HDR reconstruction and tonemapping algorithm for extreme dynamic range scene. In comparison to most of the existing HDR work, our system can run in real-time, and requires no user intervention such as parameters fine tuning. ... Our algorithm runs at an interactive frame rate (30 fps) and also enables stereoscopic vision. Additionally, a hardware implementation, which uses FPGAs, will be presented. The initial hardware configuration comprises an Atlys circuitboard manufactured by Digilent Inc., which is small enough to fit inside a large shirt pocket. The circuit board includes two HDMI camera inputs, one being used for the left eye, and the other for the right eye, as well as HDMI outputs fed back to the left and right eyes, after processing of the video signals. The circuit board facilitates processing by way of a Xilinx Spartan 6, model LX45 FPGA." The demonstration video is pretty cool, and you can read about the FPGA and details of the HDR algorithm in the research paper. -
Augmented HDR Vision For Welders (And Others)
jehan60188 writes about a research project (involving Steve Mann) that combines a welding helmet and realtime HDR image processing to give welders a clear view of what they're working on. From the article: "In this demonstration, we present a specialized version of HDR imaging (use of multiple differently exposed input images for each extended-range output image), adapted for use in electric arc welding, which also shows promise as a general-purpose seeing aid. TIG welding, in particular, presents an extremely high dynamic range scene (higher than most other welding processes). Since TIG welding requires keen eyesight and exact hand-to-eye coordination (i.e. more skill and more visual acuity than most other welding processes), being able to see in such extreme dynamic range is beneficial to welders and welding inspectors. ... We present HDRchitecture as either a fixed camera system (e.g. for use on a tripod), or as a stereo EyeTap cybernetic welding helmet that records and streams live video from a welding booth to students or observers, nearby or remote. By capturing over a dynamic range of more than a million to one, we can see details that cannot be seen by the human eye or any currently existing commercially available cameras. We also present a highly parallelizable and computationally efficient HDR reconstruction and tonemapping algorithm for extreme dynamic range scene. In comparison to most of the existing HDR work, our system can run in real-time, and requires no user intervention such as parameters fine tuning. ... Our algorithm runs at an interactive frame rate (30 fps) and also enables stereoscopic vision. Additionally, a hardware implementation, which uses FPGAs, will be presented. The initial hardware configuration comprises an Atlys circuitboard manufactured by Digilent Inc., which is small enough to fit inside a large shirt pocket. The circuit board includes two HDMI camera inputs, one being used for the left eye, and the other for the right eye, as well as HDMI outputs fed back to the left and right eyes, after processing of the video signals. The circuit board facilitates processing by way of a Xilinx Spartan 6, model LX45 FPGA." The demonstration video is pretty cool, and you can read about the FPGA and details of the HDR algorithm in the research paper. -
Augmented HDR Vision For Welders (And Others)
jehan60188 writes about a research project (involving Steve Mann) that combines a welding helmet and realtime HDR image processing to give welders a clear view of what they're working on. From the article: "In this demonstration, we present a specialized version of HDR imaging (use of multiple differently exposed input images for each extended-range output image), adapted for use in electric arc welding, which also shows promise as a general-purpose seeing aid. TIG welding, in particular, presents an extremely high dynamic range scene (higher than most other welding processes). Since TIG welding requires keen eyesight and exact hand-to-eye coordination (i.e. more skill and more visual acuity than most other welding processes), being able to see in such extreme dynamic range is beneficial to welders and welding inspectors. ... We present HDRchitecture as either a fixed camera system (e.g. for use on a tripod), or as a stereo EyeTap cybernetic welding helmet that records and streams live video from a welding booth to students or observers, nearby or remote. By capturing over a dynamic range of more than a million to one, we can see details that cannot be seen by the human eye or any currently existing commercially available cameras. We also present a highly parallelizable and computationally efficient HDR reconstruction and tonemapping algorithm for extreme dynamic range scene. In comparison to most of the existing HDR work, our system can run in real-time, and requires no user intervention such as parameters fine tuning. ... Our algorithm runs at an interactive frame rate (30 fps) and also enables stereoscopic vision. Additionally, a hardware implementation, which uses FPGAs, will be presented. The initial hardware configuration comprises an Atlys circuitboard manufactured by Digilent Inc., which is small enough to fit inside a large shirt pocket. The circuit board includes two HDMI camera inputs, one being used for the left eye, and the other for the right eye, as well as HDMI outputs fed back to the left and right eyes, after processing of the video signals. The circuit board facilitates processing by way of a Xilinx Spartan 6, model LX45 FPGA." The demonstration video is pretty cool, and you can read about the FPGA and details of the HDR algorithm in the research paper. -
Man Physically Assaulted At McDonald's For Wearing Digital Eye Glasses
RockoW writes "Steve Mann, a long-time researcher of computer vision systems, (i.e. Augmented reality, Digital Eyeglass) had an incident at a McDonald's in Paris, France. He was assaulted by three men during his visit to get food with his family. They had a problem with his digital eye glasses and tried to take them off his head. 'The eyeglass is permanently attached and does not come off my skull without special tools.' The men also tore up Mann's documentation and a letter from his doctor explaining the device's use. Fortunately, the rough treatment of the device caused it to keep recent images in its memory, instead of quickly overwriting them, so Dr. Mann has pictures of the men who assaulted him." -
New Weakness in 802.11 WEP
tim finin writes: "WEP is the security protocol used in the widely deployed IEEE 802.11 wireless LAN's. "Weaknesses in the Key Scheduling Algorithm of RC4" by Scott Fluhrer, Itsik Mantin and Adi Shamir describes new results on RC4 with a practical attack against WEP -- an extremely powerful attack which can be applied even when WEP's RC4 stream cipher uses a 2048 bit secret key (its maximal size) and 128 bit IV modifiers (as proposed in WEP2). The attacker can be a completely passive eavesdropper (i.e., he does not have to inject packets, monitor responses, or use accomplices) and thus his existence is essentially undetectable. After scanning several hundred thousand packets, the attacker can completely recover the secret key and thus decrypt all the ciphertexts. The running time of the attack grows linearly instead of exponentially with the key size, and thus it is negligible even for 2048 bit keys." The brave can jump straight to the paper in pure, clean, postscript or PDF format.