What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Computer vision
His scientific interests lie mostly in Optics, Algorithm, Encryption, Fourier transform and Structured-light 3D scanner.
His work carried out in the field of Optics brings together such families of science as Watermarking attack, Record locking, Computer hardware, Cryptanalysis and Phase retrieval.
His work deals with themes such as Ciphertext-only attack, Initial value problem, Multiresolution analysis and Iterative reconstruction, which intersect with Algorithm.
Xiang Peng focuses mostly in the field of Iterative reconstruction, narrowing it down to matters related to Grating and, in some cases, Computer vision and Artificial intelligence.
His biological study spans a wide range of topics, including Image processing and Security level.
His Structured-light 3D scanner research is multidisciplinary, incorporating perspectives in Profilometer and Image sensor.
His most cited work include:
- Known-plaintext attack on optical encryption based on double random phase keys (508 citations)
- Asymmetric cryptosystem based on phase-truncated Fourier transforms. (374 citations)
- Chosen-plaintext attack on lensless double-random phase encoding in the Fresnel domain. (320 citations)
What are the main themes of his work throughout his whole career to date?
Xiang Peng mostly deals with Optics, Artificial intelligence, Computer vision, Algorithm and Encryption.
His Optics study combines topics from a wide range of disciplines, such as Image processing and Structured-light 3D scanner.
His study on Bundle adjustment, Stereoscopy, Photogrammetry and Projector is often connected to Transformation as part of broader study in Artificial intelligence.
As part of the same scientific family, Xiang Peng usually focuses on Algorithm, concentrating on Image and intersecting with Authentication.
He frequently studies issues relating to Cryptography and Encryption.
His Plaintext study integrates concerns from other disciplines, such as Ciphertext-only attack and Ciphertext.
He most often published in these fields:
- Optics (50.18%)
- Artificial intelligence (34.52%)
- Computer vision (32.38%)
What were the highlights of his more recent work (between 2018-2021)?
- Optics (50.18%)
- Artificial intelligence (34.52%)
- Algorithm (28.83%)
In recent papers he was focusing on the following fields of study:
Xiang Peng spends much of his time researching Optics, Artificial intelligence, Algorithm, Computer vision and Light field.
His works in Structured light, Microscopy, Scattering, Point spread function and Image resolution are all subjects of inquiry into Optics.
His work on Deep learning as part of general Artificial intelligence study is frequently linked to Transformation, Process and Optimal matching, bridging the gap between disciplines.
His study in Algorithm is interdisciplinary in nature, drawing from both Plaintext, Ciphertext and Encryption.
His Encryption research includes themes of Image, Discrete cosine transform and Computer hardware.
His work on Speckle pattern, Texture and Point cloud as part of his general Computer vision study is frequently connected to Geometric modeling, thereby bridging the divide between different branches of science.
Between 2018 and 2021, his most popular works were:
- Cryptanalysis of random-phase-encoding-based optical cryptosystem via deep learning (27 citations)
- Compressive optical steganography via single-pixel imaging (19 citations)
- An optical asymmetric encryption scheme with biometric keys (19 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Computer vision
Xiang Peng mostly deals with Artificial intelligence, Optics, Computer vision, Encryption and Deconvolution.
His work in the fields of Artificial intelligence, such as Deep learning, intersects with other areas such as Process.
His Optics study frequently draws parallels with other fields, such as Transpose.
His work in the fields of Texture, Ghosting and Similarity overlaps with other areas such as Geometric modeling.
His Encryption research is mostly focused on the topic Cryptosystem.
His Cryptosystem study also includes
- Public-key cryptography together with Authentication and Biometrics,
- Encoding that connect with fields like Algorithm.
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